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I
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D
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Ar
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in
tellig
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AI
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h
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tech
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Evaluation Warning : The document was created with Spire.PDF for Python.
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C
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20
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5
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354
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4
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[
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1
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Desp
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allen
g
es.
Sh
o
r
ta
g
es
o
f
h
ea
lth
ca
r
e
p
r
o
f
ess
io
n
als,
in
ad
eq
u
ate
d
ig
ital
in
f
r
astru
ctu
r
e,
g
eo
g
r
ap
h
ical
b
ar
r
ier
s
,
an
d
lim
ited
ac
ce
s
s
to
tim
ely
m
ed
ical
co
n
s
u
ltatio
n
co
n
tin
u
e
to
r
ed
u
ce
h
ea
lth
ca
r
e
ac
ce
s
s
ib
ilit
y
.
T
h
ese
ch
allen
g
es
ar
e
f
u
r
th
er
co
m
p
o
u
n
d
e
d
b
y
lin
g
u
is
tic
d
iv
e
r
s
ity
,
as
m
an
y
p
atien
ts
co
m
m
u
n
icate
p
r
im
ar
ily
in
i
n
d
ig
en
o
u
s
lan
g
u
a
g
es
s
u
ch
as
Sh
o
n
a
r
ath
er
th
an
E
n
g
li
s
h
.
C
o
n
s
eq
u
en
tly
,
E
n
g
lis
h
-
o
n
ly
d
i
g
ital
h
ea
lth
a
p
p
licatio
n
s
o
f
te
n
f
ail
to
p
r
o
v
id
e
eq
u
ita
b
le
h
ea
lth
ca
r
e
s
er
v
i
ce
s
,
p
ar
ticu
lar
ly
in
r
u
r
al
a
n
d
u
n
d
e
r
s
er
v
ed
co
m
m
u
n
ities
.
Pre
v
io
u
s
s
tu
d
ies
h
av
e
em
p
h
asized
th
e
im
p
o
r
tan
ce
o
f
m
u
ltil
in
g
u
al
a
n
d
lo
w
-
r
eso
u
r
ce
d
i
g
ital h
ea
lth
s
o
l
u
tio
n
s
f
o
r
im
p
r
o
v
in
g
h
ea
lth
ca
r
e
ac
ce
s
s
ib
ilit
y
in
d
ev
elo
p
in
g
r
eg
io
n
s
[
1
5
]
,
[
1
6
]
.
R
ec
en
t
d
ev
elo
p
m
en
ts
in
lig
h
tweig
h
t
t
r
an
s
f
o
r
m
er
m
o
d
els
s
u
ch
as
a
l
ite
B
E
R
T
(
AL
B
E
R
T
)
an
d
m
u
ltil
in
g
u
al
r
ep
r
esen
tatio
n
lear
n
in
g
h
a
v
e
im
p
r
o
v
ed
lan
g
u
a
g
e
u
n
d
e
r
s
tan
d
in
g
wh
ile
r
e
d
u
c
in
g
co
m
p
u
tatio
n
al
co
m
p
lex
ity
[
1
7
]
,
[
1
8
]
.
Nev
er
t
h
eless
,
m
an
y
ex
is
tin
g
VHA
s
r
em
ain
clo
u
d
-
d
ep
e
n
d
en
t
an
d
o
p
er
ate
as
b
lack
-
b
o
x
s
y
s
tem
s
,
r
aisi
n
g
co
n
ce
r
n
s
r
eg
ar
d
in
g
e
x
p
lain
ab
ilit
y
,
p
r
iv
ac
y
,
an
d
eth
ical
d
e
p
lo
y
m
e
n
t
in
h
e
alth
ca
r
e
[
1
9
]
,
[
2
0
]
.
Mo
r
eo
v
er
,
r
o
b
u
s
t
ev
alu
atio
n
m
etr
ics
an
d
ex
p
lain
ab
le
AI
a
r
e
ess
en
tial
f
o
r
en
s
u
r
in
g
r
eliab
le
clin
ical
d
ec
is
io
n
s
u
p
p
o
r
t
[
2
1
]
–
[
2
3
]
.
T
h
ese
lim
i
tatio
n
s
in
d
icate
th
e
n
ee
d
f
o
r
an
in
telli
g
en
t
h
ea
lth
ca
r
e
ass
is
tan
t
th
at
co
m
b
in
es
m
u
ltil
in
g
u
al
lan
g
u
ag
e
u
n
d
er
s
t
an
d
in
g
,
in
ter
p
r
etab
le
d
ec
is
io
n
-
m
ak
in
g
,
an
d
ef
f
icien
t
o
f
f
lin
e
d
ep
lo
y
m
en
t
with
in
a
u
n
if
ied
f
r
am
ewo
r
k
.
T
o
ad
d
r
ess
th
ese
ch
allen
g
es,
th
is
s
tu
d
y
p
r
o
p
o
s
es
C
I
MA
S
H
ea
lth
Ma
te,
a
m
u
ltil
in
g
u
al
VH
A
d
esig
n
ed
f
o
r
lo
w
-
r
eso
u
r
ce
h
ea
lth
ca
r
e
s
ettin
g
s
in
Z
im
b
ab
we.
T
h
e
p
r
o
p
o
s
ed
f
r
am
ew
o
r
k
in
te
g
r
ates
m
u
ltil
in
g
u
al
t
r
an
s
f
o
r
m
er
-
b
ased
NL
P
with
an
ex
p
lain
a
b
le
XGBo
o
s
t
clas
s
if
ier
to
p
r
o
v
id
e
ev
i
d
en
ce
-
b
as
ed
s
y
m
p
to
m
tr
iag
e
r
ath
er
th
an
m
e
d
ical
d
iag
n
o
s
is
.
T
h
e
s
y
s
tem
in
co
r
p
o
r
ates o
f
f
lin
e
E
n
g
lis
h
–
Sh
o
n
a
tr
a
n
s
latio
n
,
B
E
R
T
-
b
ased
in
ten
t
class
if
icatio
n
an
d
m
ed
ical
e
n
tity
r
ec
o
g
n
itio
n
,
an
d
an
in
t
er
p
r
etab
le
d
ec
is
io
n
lay
e
r
to
s
u
p
p
o
r
t
t
r
an
s
p
ar
en
t
clin
ical
r
ec
o
m
m
e
n
d
atio
n
s
.
Fu
r
th
er
m
o
r
e,
th
e
p
r
o
p
o
s
ed
f
r
a
m
e
wo
r
k
a
d
o
p
ts
a
p
r
iv
ac
y
-
by
-
d
esig
n
a
r
ch
itectu
r
e
th
at
alig
n
s
with
in
ter
n
atio
n
al
d
ata
p
r
o
tectio
n
p
r
in
cip
les an
d
d
ig
it
al
h
ea
lth
r
ec
o
m
m
en
d
atio
n
s
[
2
4
]
,
[
2
5
]
.
T
h
e
m
ain
co
n
tr
ib
u
tio
n
s
o
f
th
i
s
s
tu
d
y
ar
e
f
o
u
r
f
o
l
d
.
First,
a
h
y
b
r
id
m
u
ltil
in
g
u
al
VHA
ar
ch
itectu
r
e
is
d
ev
elo
p
e
d
b
y
in
te
g
r
atin
g
t
r
a
n
s
f
o
r
m
er
-
b
as
ed
NL
P
with
an
ex
p
lain
a
b
le
XGBo
o
s
t
d
ec
is
io
n
m
o
d
el.
Seco
n
d
,
th
e
f
r
am
ew
o
r
k
s
u
p
p
o
r
ts
o
f
f
lin
e
m
u
ltil
in
g
u
al
c
o
m
m
u
n
icatio
n
s
u
itab
le
f
o
r
b
a
n
d
wid
th
-
co
n
s
tr
ain
ed
en
v
ir
o
n
m
en
ts
.
T
h
ir
d
,
t
h
e
p
r
o
p
o
s
ed
ar
ch
itectu
r
e
em
p
h
asi
ze
s
in
ter
p
r
etab
le
an
d
p
r
iv
ac
y
-
p
r
eser
v
in
g
AI
f
o
r
h
ea
lth
ca
r
e
ap
p
licatio
n
s
.
Fin
al
ly
,
th
e
p
r
o
p
o
s
ed
s
y
s
tem
is
ev
alu
ated
u
s
in
g
m
u
ltil
in
g
u
al
s
y
m
p
to
m
d
ata
an
d
s
tr
u
ctu
r
ed
elec
tr
o
n
ic
h
ea
lth
r
e
co
r
d
(
E
HR
)
-
s
ty
le
d
ata
to
d
em
o
n
s
tr
ate
its
ef
f
ec
tiv
en
ess
f
o
r
ac
cu
r
ate,
tr
an
s
p
ar
en
t,
an
d
s
ca
lab
le
m
u
ltil
in
g
u
al
s
y
m
p
to
m
tr
iag
e.
2.
RE
L
AT
E
D
WO
RK
S
R
ec
en
t
ad
v
an
ce
s
in
AI
h
av
e
a
cc
eler
ated
th
e
d
ev
elo
p
m
en
t
o
f
VHAs
f
o
r
s
y
m
p
to
m
ass
es
s
m
en
t,
p
atien
t
en
g
ag
em
e
n
t,
an
d
clin
ical
d
ec
i
s
io
n
s
u
p
p
o
r
t.
C
o
m
m
er
cial
p
la
tf
o
r
m
s
s
u
ch
as
B
ab
y
lo
n
Hea
lt
h
,
Ad
a
Hea
lth
,
a
n
d
Mo
b
iHea
lth
Ken
y
a
h
a
v
e
d
em
o
n
s
tr
ated
th
e
p
o
ten
tial
o
f
AI
-
ass
is
ted
h
ea
lth
ca
r
e
b
y
p
r
o
v
id
in
g
co
n
v
er
s
atio
n
al
s
y
m
p
to
m
ass
ess
m
en
t
an
d
h
ea
lth
r
ec
o
m
m
en
d
atio
n
s
.
Ho
wev
er
,
m
o
s
t
e
x
is
tin
g
p
latf
o
r
m
s
r
ely
o
n
clo
u
d
-
b
ased
in
f
r
astru
ctu
r
es,
r
eq
u
ir
e
co
n
tin
u
o
u
s
in
ter
n
et
co
n
n
ec
tiv
ity
,
a
n
d
p
r
im
ar
ily
s
u
p
p
o
r
t
wid
el
y
s
p
o
k
en
lan
g
u
ag
es
s
u
ch
as
E
n
g
lis
h
.
T
h
ese
ch
a
r
ac
ter
is
tics
lim
it
th
eir
ap
p
licab
ilit
y
in
lo
w
-
r
eso
u
r
ce
h
ea
lth
ca
r
e
e
n
v
ir
o
n
m
e
n
ts
,
wh
er
e
n
etwo
r
k
co
n
n
ec
tiv
ity
is
u
n
r
e
liab
le
an
d
m
an
y
u
s
er
s
co
m
m
u
n
icate
in
in
d
ig
e
n
o
u
s
lan
g
u
ag
es.
Fu
r
th
er
m
o
r
e
,
s
ev
er
al
co
m
m
er
cial
VHAs
g
en
er
ate
d
iag
n
o
s
tic
s
u
g
g
esti
o
n
s
,
r
aisi
n
g
co
n
ce
r
n
s
r
eg
ar
d
i
n
g
ex
p
lain
ab
ilit
y
,
clin
ical
ac
co
u
n
tab
ilit
y
,
a
n
d
r
e
g
u
lato
r
y
co
m
p
lian
ce
.
Fro
m
a
m
eth
o
d
o
lo
g
ical
p
er
s
p
ec
tiv
e,
r
ec
e
n
t
s
tu
d
ies
h
av
e
s
h
o
wn
th
at
t
r
an
s
f
o
r
m
er
-
b
ased
lan
g
u
ag
e
m
o
d
els,
in
clu
d
in
g
B
E
R
T
an
d
its
m
u
ltil
in
g
u
al
v
ar
ian
ts
,
s
u
b
s
tan
tially
im
p
r
o
v
e
in
ten
t
class
if
icatio
n
,
m
ed
ical
en
tity
r
ec
o
g
n
itio
n
,
an
d
co
n
te
x
tu
al
lan
g
u
ag
e
u
n
d
er
s
tan
d
in
g
th
r
o
u
g
h
co
n
tex
tu
al
em
b
ed
d
i
n
g
s
.
T
h
ese
m
o
d
els
h
av
e
b
ec
o
m
e
t
h
e
f
o
u
n
d
atio
n
o
f
m
o
d
e
r
n
m
u
ltil
in
g
u
al
co
n
v
er
s
atio
n
al
AI
b
ec
au
s
e
th
e
y
ca
p
tu
r
e
s
em
an
tic
r
elatio
n
s
h
ip
s
m
o
r
e
e
f
f
ec
tiv
el
y
th
an
c
o
n
v
e
n
tio
n
al
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
s
o
r
r
u
le
-
b
ased
ap
p
r
o
ac
h
es.
Nev
er
th
eless
,
t
r
an
s
f
o
r
m
er
m
o
d
els
g
en
er
ally
r
eq
u
ir
e
s
u
b
s
tan
tial
co
m
p
u
tatio
n
al
r
eso
u
r
ce
s
a
n
d
o
f
ten
o
p
er
ate
as
b
lack
-
b
o
x
s
y
s
tem
s
,
lim
itin
g
th
eir
d
ep
lo
y
m
e
n
t
in
p
r
iv
ac
y
-
s
en
s
itiv
e
an
d
r
eso
u
r
c
e
-
c
o
n
s
tr
ain
ed
h
ea
lth
ca
r
e
en
v
ir
o
n
m
en
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
C
o
m
p
u
t Sci
I
n
f
T
ec
h
n
o
l
I
SS
N:
2722
-
3
2
2
1
A
r
tifi
cia
l in
tellig
en
ce
h
ea
lth
a
s
s
is
ta
n
t c
o
mb
in
in
g
tr
a
n
s
fo
r
me
r
s
a
n
d
X
GB
o
o
s
t fo
r
…
(
S
h
a
mi
s
o
S
ima
n
g
o
)
355
I
n
p
ar
allel,
en
s
em
b
le
lear
n
i
n
g
alg
o
r
ith
m
s
s
u
ch
as
XGBo
o
s
t
h
av
e
co
n
s
is
ten
tly
d
em
o
n
s
tr
ated
ex
ce
llen
t
p
r
ed
ictiv
e
p
e
r
f
o
r
m
an
ce
f
o
r
s
tr
u
ctu
r
ed
clin
ical
d
ata
wh
ile
p
r
o
v
id
in
g
in
ter
p
r
eta
b
le
f
ea
t
u
r
e
im
p
o
r
tan
ce
a
n
d
ef
f
icien
t
in
f
er
e
n
ce
.
C
o
n
s
eq
u
e
n
tly
,
XGBo
o
s
t
h
as
b
ee
n
wid
ely
ad
o
p
ted
f
o
r
d
is
ea
s
e
p
r
e
d
ictio
n
,
p
atien
t
r
is
k
s
tr
atif
icatio
n
,
an
d
clin
ical
d
ec
is
io
n
s
u
p
p
o
r
t.
Un
lik
e
d
ee
p
n
e
u
r
al
n
etwo
r
k
s
,
g
r
a
d
ien
t
b
o
o
s
tin
g
m
o
d
els
p
r
o
v
id
e
g
r
ea
ter
tr
an
s
p
a
r
en
cy
,
m
ak
in
g
th
em
m
o
r
e
s
u
it
ab
le
f
o
r
ev
id
en
ce
-
b
ased
h
ea
lth
ca
r
e
ap
p
licatio
n
s
wh
er
e
ex
p
lain
ab
ilit
y
is
ess
en
tial.
R
ec
en
t
r
esear
ch
h
as
b
e
g
u
n
ex
p
lo
r
in
g
h
y
b
r
id
a
r
ch
itectu
r
es
t
h
at
co
m
b
i
n
e
t
r
an
s
f
o
r
m
er
-
b
ased
lan
g
u
ag
e
u
n
d
er
s
tan
d
i
n
g
with
s
tr
u
ctu
r
e
d
m
ac
h
in
e
lear
n
i
n
g
m
o
d
els
t
o
lev
er
a
g
e
th
e
co
m
p
le
m
en
tar
y
s
tr
en
g
th
s
o
f
b
o
th
ap
p
r
o
ac
h
es.
W
h
ile
th
ese
h
y
b
r
id
s
y
s
tem
s
im
p
r
o
v
e
co
n
v
e
r
s
atio
n
al
in
tellig
en
ce
an
d
p
r
ed
ictio
n
ac
cu
r
ac
y
,
r
elativ
ely
f
ew
s
tu
d
ies
h
a
v
e
f
o
cu
s
ed
o
n
m
u
ltil
in
g
u
al
h
ea
lth
ca
r
e
ap
p
licatio
n
s
f
o
r
Af
r
i
ca
n
lan
g
u
ag
es
o
r
co
n
s
id
er
ed
o
f
f
lin
e
d
ep
lo
y
m
e
n
t
,
lo
w
-
b
an
d
wid
t
h
o
p
er
atio
n
,
an
d
co
m
p
lian
ce
with
r
eg
io
n
al
d
ata
p
r
o
tectio
n
r
eg
u
latio
n
s
.
T
h
ese
lim
itatio
n
s
m
o
tiv
ate
th
e
d
ev
elo
p
m
e
n
t
o
f
C
I
MA
S
Hea
lth
Ma
te,
wh
ich
in
teg
r
ates
m
u
ltil
in
g
u
al
t
r
an
s
f
o
r
m
er
-
b
ased
NL
P
with
an
ex
p
lai
n
ab
le
XGBo
o
s
t
d
ec
is
io
n
m
o
d
el
t
o
p
r
o
v
id
e
p
r
iv
ac
y
-
p
r
eser
v
in
g
,
m
u
ltil
in
g
u
al
s
y
m
p
to
m
tr
iag
e
f
o
r
lo
w
-
r
eso
u
r
ce
h
e
alth
ca
r
e
s
ettin
g
s
.
T
ab
le
1
co
m
p
ar
es
th
e
p
r
o
p
o
s
ed
C
I
MA
S
Hea
lth
Ma
te
f
r
am
ewo
r
k
with
r
e
p
r
esen
tativ
e
h
ea
l
th
ca
r
e
p
latf
o
r
m
s
.
Un
lik
e
e
x
i
s
tin
g
s
y
s
tem
s
,
th
e
p
r
o
p
o
s
ed
f
r
am
ew
o
r
k
c
o
m
b
in
e
s
m
u
ltil
in
g
u
al
s
u
p
p
o
r
t,
o
f
f
lin
e
o
p
er
atio
n
,
in
ter
p
r
etab
le
m
a
ch
in
e
lear
n
in
g
,
an
d
p
r
iv
ac
y
-
p
r
eser
v
in
g
d
ep
lo
y
m
e
n
t
with
in
a
u
n
if
ied
ar
ch
itectu
r
e,
m
ak
in
g
it
m
o
r
e
s
u
itab
le
f
o
r
m
u
ltil
in
g
u
al,
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
h
ea
lth
ca
r
e
en
v
ir
o
n
m
en
ts
.
T
ab
le
1
.
C
o
m
p
a
r
is
o
n
o
f
f
ea
tu
r
es b
etwe
en
th
e
C
I
MA
S He
alth
Ma
te
h
y
b
r
id
VHA
an
d
ex
is
tin
g
h
ea
lth
p
latf
o
r
m
s
(
B
ab
y
lo
n
Hea
lth
,
Ad
a
Hea
lth
,
Mo
b
iHea
lth
Ken
y
a)
C
r
i
t
e
r
i
o
n
P
r
o
p
o
se
d
C
I
M
A
S
H
e
a
l
t
h
M
a
t
e
B
a
b
y
l
o
n
H
e
a
l
t
h
A
d
a
H
e
a
l
t
h
M
o
b
i
H
e
a
l
t
h
K
e
n
y
a
N
LP
m
o
d
e
l
Tr
a
n
sf
o
r
mer
(
B
ER
T
+
n
o
l
a
n
g
u
a
g
e
l
e
f
t
b
e
h
i
n
d
)
P
r
o
p
r
i
e
t
a
r
y
n
e
u
r
a
l
A
I
P
r
o
p
r
i
e
t
a
r
y
A
I
R
u
l
e
-
b
a
se
d
/
mac
h
i
n
e
l
e
a
r
n
i
n
g
D
e
c
i
s
i
o
n
m
o
d
e
l
Ex
p
l
a
i
n
a
b
l
e
X
G
B
o
o
st
P
r
o
p
r
i
e
t
a
r
y
P
r
o
p
r
i
e
t
a
r
y
R
u
l
e
-
b
a
se
d
M
u
l
t
i
l
i
n
g
u
a
l
s
u
p
p
o
r
t
En
g
l
i
sh
–
S
h
o
n
a
Li
mi
t
e
d
M
u
l
t
i
p
l
e
l
a
n
g
u
a
g
e
s
En
g
l
i
sh
–
S
w
a
h
i
l
i
O
f
f
l
i
n
e
c
a
p
a
b
i
l
i
t
y
Y
e
s
No
No
P
a
r
t
i
a
l
Ex
p
l
a
i
n
a
b
l
e
A
I
Y
e
s
Li
mi
t
e
d
Li
mi
t
e
d
M
o
d
e
r
a
t
e
S
y
mp
t
o
m t
r
i
a
g
e
Y
e
s
Y
e
s
Y
e
s
B
a
si
c
M
e
d
i
c
a
l
d
i
a
g
n
o
s
i
s
No
Y
e
s
Y
e
s
No
P
r
i
v
a
c
y
-
by
-
d
e
s
i
g
n
Y
e
s
P
a
r
t
i
a
l
P
a
r
t
i
a
l
P
a
r
t
i
a
l
Lo
w
-
b
a
n
d
w
i
d
t
h
d
e
p
l
o
y
m
e
n
t
Y
e
s
No
No
P
a
r
t
i
a
l
R
e
g
u
l
a
t
o
r
y
c
o
m
p
l
i
a
n
c
e
G
e
n
e
r
a
l
d
a
t
a
p
r
o
t
e
c
t
i
o
n
r
e
g
u
l
a
t
i
o
n
,
h
e
a
l
t
h
i
n
s
u
r
a
n
c
e
p
o
r
t
a
b
i
l
i
t
y
a
n
d
a
c
c
o
u
n
t
a
b
i
l
i
t
y
a
c
t
,
Zi
m
b
a
b
w
e
c
y
b
e
r
a
n
d
d
a
t
a
p
r
o
t
e
c
t
i
o
n
a
c
t
H
e
a
l
t
h
i
n
su
r
a
n
c
e
p
o
r
t
a
b
i
l
i
t
y
a
n
d
a
c
c
o
u
n
t
a
b
i
l
i
t
y
a
c
t
G
e
n
e
r
a
l
d
a
t
a
p
r
o
t
e
c
t
i
o
n
r
e
g
u
l
a
t
i
o
n
Lo
c
a
l
r
e
g
u
l
a
t
i
o
n
s
3.
M
E
T
H
O
D
3
.
1
.
O
v
er
a
ll
s
y
s
t
em
a
rc
hite
c
t
ure
T
h
e
p
r
o
p
o
s
ed
C
I
MA
S
Hea
lth
Ma
te
f
r
am
ewo
r
k
ad
o
p
ts
a
m
o
d
u
lar
h
y
b
r
id
a
r
ch
itectu
r
e
co
n
s
is
tin
g
o
f
th
r
ee
f
u
n
ctio
n
al
lay
er
s
:
tr
an
s
l
atio
n
,
co
n
tex
tu
al
u
n
d
e
r
s
tan
d
in
g
,
an
d
clin
ical
d
ec
is
io
n
-
m
a
k
in
g
,
as
illu
s
tr
ated
in
Fig
u
r
e
1
.
T
h
is
lay
er
ed
d
esig
n
co
m
b
in
es
m
u
ltil
in
g
u
al
NL
P
with
ex
p
lain
ab
le
m
ac
h
in
e
lear
n
in
g
to
p
r
o
v
id
e
ac
cu
r
ate,
in
ter
p
r
etab
le,
an
d
p
r
iv
ac
y
-
p
r
eser
v
in
g
s
y
m
p
t
o
m
tr
iag
e
s
u
itab
le
f
o
r
lo
w
-
r
eso
u
r
ce
h
ea
lth
ca
r
e
en
v
ir
o
n
m
en
ts
.
T
h
e
wo
r
k
f
lo
w
b
eg
in
s
with
th
e
tr
an
s
latio
n
lay
er
,
wh
e
r
e
u
s
er
q
u
e
r
ies
ar
e
au
t
o
m
atica
lly
tr
an
s
lated
b
etwe
en
Sh
o
n
a
an
d
E
n
g
lis
h
u
s
in
g
th
e
o
f
f
lin
e
n
o
l
an
g
u
ag
e
lef
t
b
eh
in
d
(
NL
L
B
)
-
2
0
0
m
o
d
el
.
Of
f
lin
e
tr
an
s
latio
n
elim
in
ates
d
e
p
en
d
en
ce
o
n
clo
u
d
-
b
ased
s
er
v
ices
,
th
er
e
b
y
im
p
r
o
v
in
g
s
y
s
tem
r
eliab
ilit
y
,
r
ed
u
ci
n
g
co
m
m
u
n
icatio
n
laten
cy
,
a
n
d
p
r
eser
v
in
g
p
atien
t
p
r
iv
ac
y
in
b
a
n
d
wid
th
-
co
n
s
tr
ain
ed
en
v
ir
o
n
m
en
ts
.
T
h
e
tr
an
s
lated
tex
t
is
s
u
b
s
eq
u
en
tly
p
r
o
ce
s
s
ed
b
y
th
e
c
o
n
tex
t
u
al
u
n
d
e
r
s
tan
d
in
g
la
y
er
,
wh
ic
h
em
p
lo
y
s
a
B
E
R
T
-
b
ased
NL
P
p
ip
elin
e.
T
h
is
lay
er
p
er
f
o
r
m
s
in
ten
t c
lass
if
icatio
n
to
id
en
tify
th
e
u
s
er
’
s
h
ea
lth
ca
r
e
r
eq
u
est
an
d
m
e
d
ical
en
tity
r
ec
o
g
n
itio
n
to
ex
tr
ac
t
clin
ically
r
elev
an
t
in
f
o
r
m
atio
n
,
in
clu
d
i
n
g
r
e
p
o
r
ted
s
y
m
p
to
m
s
,
s
y
m
p
to
m
d
u
r
atio
n
,
s
ev
er
ity
,
m
ed
icatio
n
s
,
an
d
p
r
e
-
ex
is
tin
g
m
ed
ical
co
n
d
itio
n
s
.
T
h
e
ex
t
r
ac
ted
en
titi
es
ar
e
tr
an
s
f
o
r
m
ed
in
to
s
tr
u
ctu
r
ed
f
ea
tu
r
e
v
ec
to
r
s
s
u
itab
le
f
o
r
d
o
wn
s
tr
ea
m
m
ac
h
in
e
lear
n
in
g
an
aly
s
is
.
Fin
ally
,
th
e
s
tr
u
ctu
r
ed
clin
ical
f
ea
t
u
r
e
s
ar
e
f
o
r
war
d
e
d
to
th
e
clin
ic
al
d
ec
is
io
n
-
m
ak
in
g
lay
er
,
wh
er
e
an
ex
p
lain
ab
le
XGBo
o
s
t
clas
s
if
ier
p
r
ed
icts
o
n
e
o
f
th
r
ee
ev
id
e
n
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
s
:
h
o
m
e_
r
e
m
ed
y
,
wait_
an
d
_
m
o
n
ito
r
,
o
r
s
ee
_
d
o
cto
r
.
Un
lik
e
d
ia
g
n
o
s
tic
s
y
s
tem
s
th
at
attem
p
t
to
id
en
tify
s
p
ec
if
ic
d
is
ea
s
es,
th
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
f
o
cu
s
es
ex
clu
s
iv
ely
o
n
s
y
m
p
to
m
tr
iag
e
to
s
u
p
p
o
r
t
tim
ely
h
ea
lt
h
ca
r
e
g
u
id
a
n
ce
wh
ile
m
ain
tain
in
g
clin
ician
o
v
er
s
ig
h
t.
T
h
e
u
s
e
o
f
XGBo
o
s
t
also
en
ab
les
f
ea
tu
r
e
i
m
p
o
r
ta
n
ce
an
aly
s
is
,
p
r
o
v
id
in
g
g
r
ea
ter
tr
an
s
p
ar
e
n
cy
a
n
d
in
ter
p
r
etab
ilit
y
th
an
e
n
d
-
to
-
en
d
n
e
u
r
al
d
ec
is
io
n
m
o
d
els.
T
h
e
in
teg
r
atio
n
o
f
m
u
ltil
in
g
u
al
tr
an
s
latio
n
,
co
n
te
x
tu
al
lan
g
u
ag
e
u
n
d
e
r
s
tan
d
in
g
,
an
d
in
t
er
p
r
etab
le
m
ac
h
in
e
lear
n
in
g
en
ab
les
C
I
MA
S
Hea
lth
Ma
te
to
p
r
o
v
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e
r
eliab
le,
tr
an
s
p
ar
en
t,
an
d
clin
ically
m
ea
n
in
g
f
u
l
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
7
2
2
-
3
2
2
1
C
o
m
p
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I
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f
T
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h
n
o
l
,
Vo
l.
7
,
No
.
3
,
No
v
em
b
er
20
26
:
3
5
3
-
368
356
s
y
m
p
to
m
tr
iag
e
wh
ile
s
u
p
p
o
r
tin
g
o
f
f
lin
e
d
ep
lo
y
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en
t,
m
u
lt
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g
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al
co
m
m
u
n
icatio
n
,
a
n
d
p
r
iv
ac
y
-
p
r
eser
v
in
g
h
ea
lth
ca
r
e
s
er
v
ices
in
r
eso
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r
c
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-
co
n
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tr
ain
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ettin
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s
.
B
y
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m
b
in
in
g
th
e
c
o
n
tex
tu
al
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ea
s
o
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in
g
ca
p
a
b
ilit
ies
o
f
t
r
an
s
f
o
r
m
er
-
b
ased
lan
g
u
a
g
e
m
o
d
els
with
th
e
p
r
ed
ictiv
e
ac
cu
r
ac
y
an
d
ex
p
lain
a
b
ilit
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o
f
XGBo
o
s
t,
th
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
ef
f
e
ctiv
ely
b
r
id
g
es
th
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g
ap
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etwe
en
u
n
s
tr
u
ctu
r
e
d
p
atien
t
n
ar
r
at
iv
es
an
d
s
tr
u
ctu
r
ed
clin
ical
d
ec
is
io
n
s
u
p
p
o
r
t.
Fu
r
th
er
m
o
r
e,
its
m
o
d
u
lar
a
r
ch
ite
ctu
r
e
f
ac
ilit
ates
s
ca
lab
ilit
y
,
allo
win
g
ad
d
itio
n
al
lan
g
u
ag
es,
clin
ical
k
n
o
wled
g
e
b
ases
,
an
d
d
ec
is
io
n
m
o
d
els
to
b
e
in
co
r
p
o
r
ated
with
m
in
im
al
s
y
s
tem
m
o
d
if
icatio
n
.
T
h
e
o
f
f
lin
e
im
p
lem
en
tatio
n
r
ed
u
ce
s
d
ep
e
n
d
en
ce
o
n
clo
u
d
in
f
r
astru
ctu
r
e,
en
s
u
r
in
g
c
o
n
s
is
ten
t
p
er
f
o
r
m
an
ce
in
lo
w
-
b
a
n
d
wid
t
h
en
v
ir
o
n
m
en
ts
wh
ile
s
af
eg
u
a
r
d
in
g
s
en
s
itiv
e
p
atien
t in
f
o
r
m
a
tio
n
.
C
o
n
s
eq
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en
tly
,
C
I
MA
S
Hea
lth
Ma
te
o
f
f
er
s
a
p
r
ac
tical
an
d
e
x
ten
s
ib
le
p
la
tf
o
r
m
f
o
r
im
p
r
o
v
in
g
eq
u
itab
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ce
s
s
to
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ig
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ea
lth
ca
r
e,
r
e
d
u
cin
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clin
ician
wo
r
k
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ad
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r
o
u
g
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id
e
n
ce
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ased
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iag
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a
n
d
s
u
p
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o
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tin
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n
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o
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e
d
h
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io
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-
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ak
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u
ltil
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al,
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eso
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r
ce
h
ea
lth
ca
r
e
en
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ir
o
n
m
e
n
ts
.
Fig
u
r
e
1
.
Hy
b
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id
VHA
ar
c
h
itectu
r
e
3
.
2
.
Da
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a
s
et
d
escript
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n
T
wo
co
m
p
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ta
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y
d
ataset
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wer
e
em
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lo
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d
ev
elo
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an
d
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al
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ate
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eq
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e
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ct
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ak
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h
e
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ir
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t
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ataset
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u
ltil
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al
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o
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1
,
0
0
0
an
n
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tated
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y
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p
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m
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el
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air
s
in
E
n
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li
s
h
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d
Sh
o
n
a.
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h
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r
p
u
s
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n
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tr
u
cted
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p
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o
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t
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e
tr
a
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th
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m
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o
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en
ts
,
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clu
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in
t
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d
m
ed
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tity
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o
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n
itio
n
.
E
ac
h
s
am
p
le
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n
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is
ted
o
f
a
f
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ee
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tex
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p
atien
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q
u
e
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y
a
n
n
o
tate
d
with
s
y
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p
to
m
ca
te
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ies,
c
lin
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titi
es,
an
d
co
r
r
esp
o
n
d
in
g
in
ten
t
la
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els,
e
n
ab
lin
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th
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m
o
d
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t
o
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r
n
m
u
ltil
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t
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m
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ter
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et
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n
tex
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er
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i
n
g
.
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h
e
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ec
o
n
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d
ataset
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n
s
is
ted
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f
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an
o
n
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m
ize
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E
HR
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ty
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ataset
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tain
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ap
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r
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im
at
ely
2
3
,
0
0
0
s
tr
u
ctu
r
ed
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atien
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r
ec
o
r
d
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u
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ed
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ain
th
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o
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t
-
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ased
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iag
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r
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o
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e
n
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atio
n
m
o
d
el.
E
ac
h
r
ec
o
r
d
in
clu
d
ed
clin
ically
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elev
a
n
t
at
tr
ib
u
tes
s
u
ch
as
p
atien
t
d
e
m
o
g
r
ap
h
ics
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a
g
e
a
n
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g
en
d
er
)
,
r
e
p
o
r
ted
s
y
m
p
to
m
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,
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y
m
p
to
m
d
u
r
atio
n
,
s
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m
p
to
m
s
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ity
,
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r
r
en
t
m
ed
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s
,
p
r
e
-
e
x
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tin
g
m
e
d
ical
co
n
d
itio
n
s
,
war
n
i
n
g
s
ig
n
s
(
r
ed
-
f
la
g
s
y
m
p
to
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s
)
,
an
d
th
e
co
r
r
esp
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n
d
in
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clin
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d
e
f
in
ed
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iag
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r
ec
o
m
m
en
d
atio
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.
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ased
o
n
th
ese
s
tr
u
ctu
r
ed
clin
ical
f
ea
tu
r
es,
th
e
m
o
d
el
was
tr
ain
ed
to
class
if
y
p
atien
ts
in
to
o
n
e
o
f
th
r
e
e
tr
iag
e
ca
teg
o
r
ies:
h
o
m
e_
r
e
m
ed
y
,
wait_
an
d
_
m
o
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r
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o
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s
ee
_
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cto
r
.
T
h
e
co
m
b
i
n
atio
n
o
f
m
u
ltil
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al
u
n
s
tr
u
c
tu
r
ed
te
x
t
d
ata
an
d
s
tr
u
ctu
r
ed
clin
ical
r
ec
o
r
d
s
en
ab
led
th
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
to
in
teg
r
ate
co
n
tex
tu
al
lan
g
u
ag
e
u
n
d
er
s
tan
d
in
g
with
in
ter
p
r
etab
le
clin
ical
d
ec
is
io
n
-
m
ak
in
g
.
T
h
is
d
u
al
-
d
ataset
s
tr
ateg
y
im
p
r
o
v
ed
th
e
r
o
b
u
s
tn
ess
o
f
s
y
m
p
to
m
in
ter
p
r
etatio
n
wh
ile
a
llo
win
g
t
h
e
tr
iag
e
m
o
d
el
to
lear
n
clin
ic
ally
m
ea
n
in
g
f
u
l
d
ec
is
io
n
p
atte
r
n
s
f
r
o
m
s
tr
u
ctu
r
ed
h
ea
lth
ca
r
e
d
ata.
Evaluation Warning : The document was created with Spire.PDF for Python.
C
o
m
p
u
t Sci
I
n
f
T
ec
h
n
o
l
I
SS
N:
2722
-
3
2
2
1
A
r
tifi
cia
l in
tellig
en
ce
h
ea
lth
a
s
s
is
ta
n
t c
o
mb
in
in
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tr
a
n
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fo
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(
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)
357
3
.
3
.
NL
P
mo
du
le
T
h
e
NL
P
m
o
d
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is
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ib
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tex
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atien
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ar
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in
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in
f
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m
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at
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tr
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ltil
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ter
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m
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le
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teg
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ates
m
ac
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e
tr
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s
latio
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to
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ased
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ic
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ele
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h
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izes
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atien
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est
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ef
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r
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u
ch
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s
y
m
p
to
m
r
ep
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r
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h
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lth
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s
u
ltatio
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.
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ltan
eo
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ly
,
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m
ed
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tity
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g
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iti
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m
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id
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tifie
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ts
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clu
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ep
o
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ted
s
y
m
p
to
m
s
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r
atio
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ity
,
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r
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en
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s
,
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itio
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d
o
th
er
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te
x
tu
al
in
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o
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m
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n
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b
ed
d
e
d
in
th
e
p
atien
t
’
s
n
ar
r
ativ
e.
T
h
e
ex
tr
ac
ted
e
n
titi
es
ar
e
n
o
r
m
alize
d
a
n
d
tr
an
s
f
o
r
m
ed
in
to
s
tr
u
ct
u
r
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f
e
atu
r
e
v
ec
to
r
s
th
r
o
u
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h
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teg
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ca
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en
co
d
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g
an
d
n
u
m
er
ical
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e
p
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tatio
n
.
T
h
ese
f
ea
tu
r
e
v
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to
r
s
p
r
o
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id
e
a
s
tan
d
ar
d
ized
r
ep
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esen
tatio
n
o
f
th
e
p
atien
t
’
s
clin
ical
p
r
o
f
ile
an
d
s
er
v
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e
i
n
p
u
t
to
th
e
XGBo
o
s
t
-
b
ased
tr
iag
e
r
e
co
m
m
e
n
d
atio
n
m
o
d
el.
B
y
s
ep
ar
atin
g
lan
g
u
ag
e
u
n
d
e
r
s
tan
d
in
g
f
r
o
m
clin
ical
d
ec
is
io
n
-
m
ak
in
g
,
t
h
e
p
r
o
p
o
s
ed
ar
c
h
itectu
r
e
im
p
r
o
v
es
s
y
s
tem
in
ter
p
r
etab
ilit
y
,
f
ac
ilit
ates
m
o
d
u
lar
m
o
d
el
u
p
d
ates,
an
d
en
a
b
les
in
d
ep
e
n
d
en
t
o
p
tim
izatio
n
o
f
ea
ch
co
m
p
o
n
e
n
t.
T
h
e
co
m
b
in
ati
o
n
o
f
m
u
l
tili
n
g
u
al
tr
an
s
latio
n
an
d
t
r
an
s
f
o
r
m
e
r
-
b
ased
co
n
tex
tu
al
lan
g
u
ag
e
u
n
d
er
s
tan
d
in
g
allo
ws
th
e
p
r
o
p
o
s
ed
NL
P
m
o
d
u
le
to
ac
cu
r
ately
in
ter
p
r
et
p
atien
t
n
ar
r
ativ
es
ac
r
o
s
s
lan
g
u
ag
es
wh
ile
p
r
eser
v
in
g
clin
ically
r
el
ev
an
t
in
f
o
r
m
atio
n
r
eq
u
ir
ed
f
o
r
ev
id
e
n
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
s
.
T
h
is
d
esig
n
en
h
an
ce
s
th
e
r
o
b
u
s
tn
ess
an
d
s
ca
lab
ilit
y
o
f
th
e
o
v
e
r
all
f
r
am
ewo
r
k
,
m
a
k
i
n
g
it
s
u
itab
le
f
o
r
m
u
ltil
in
g
u
a
l
h
ea
lth
ca
r
e
ap
p
licatio
n
s
in
r
eso
u
r
ce
-
co
n
s
tr
ain
e
d
en
v
ir
o
n
m
en
ts
.
3
.
4
.
XG
B
o
o
s
t
-
ba
s
ed
t
ria
g
e
m
o
del
T
h
e
f
in
al
clin
ical
r
ec
o
m
m
en
d
atio
n
is
g
en
er
ated
u
s
in
g
an
XGBo
o
s
t
cla
s
s
if
ier
,
wh
ich
w
as
s
elec
ted
b
ec
au
s
e
o
f
its
h
ig
h
p
r
e
d
ictiv
e
ac
cu
r
ac
y
,
co
m
p
u
tatio
n
al
e
f
f
icien
cy
,
a
n
d
i
n
h
er
e
n
t
in
ter
p
r
etab
ilit
y
wh
en
ap
p
lied
to
s
tr
u
ctu
r
ed
clin
ical
d
ata.
C
o
m
p
ar
ed
with
co
n
v
en
tio
n
al
m
a
ch
in
e
lear
n
i
n
g
alg
o
r
ith
m
s
,
XGBo
o
s
t
ef
f
ec
tiv
ely
ca
p
tu
r
es
co
m
p
lex
n
o
n
lin
ea
r
r
elatio
n
s
h
ip
s
am
o
n
g
clin
ic
al
v
ar
iab
les
wh
ile
in
co
r
p
o
r
atin
g
r
eg
u
lar
izatio
n
tech
n
iq
u
es th
at
r
e
d
u
ce
o
v
er
f
itt
in
g
an
d
im
p
r
o
v
e
m
o
d
el
g
en
e
r
a
lizatio
n
.
T
h
e
in
p
u
t
to
th
e
XGBo
o
s
t
m
o
d
el
c
o
n
s
is
ts
o
f
s
tr
u
ctu
r
e
d
f
ea
tu
r
e
v
ec
to
r
s
p
r
o
d
u
ce
d
b
y
th
e
NL
P
m
o
d
u
le.
T
h
ese
f
ea
tu
r
es
in
cl
u
d
e
p
atien
t
d
em
o
g
r
ap
h
ics
(
a
g
e
an
d
g
en
d
e
r
)
,
r
ep
o
r
ted
s
y
m
p
to
m
s
,
s
y
m
p
to
m
d
u
r
atio
n
,
s
y
m
p
to
m
s
ev
er
ity
,
cu
r
r
en
t
m
ed
icatio
n
s
,
p
r
e
-
e
x
is
tin
g
m
ed
ical
co
n
d
itio
n
s
,
id
en
tifie
d
r
ed
-
f
lag
s
y
m
p
to
m
s
,
an
d
o
t
h
e
r
clin
ical
ly
r
elev
an
t
attr
ib
u
tes
ex
t
r
ac
ted
f
r
o
m
th
e
p
atien
t
co
n
v
er
s
atio
n
.
Prio
r
to
m
o
d
el
tr
ain
in
g
,
c
ateg
o
r
ical
v
ar
iab
les
wer
e
en
co
d
ed
in
to
n
u
m
er
ical
r
ep
r
esen
tatio
n
s
,
an
d
m
is
s
in
g
v
a
lu
es
wer
e
h
a
n
d
led
u
s
in
g
th
e
n
ativ
e
m
is
s
in
g
-
v
alu
e
p
r
o
ce
s
s
in
g
ca
p
a
b
ilit
y
o
f
XG
B
o
o
s
t.
T
h
e
m
o
d
el
was
f
o
r
m
u
lated
as
a
m
u
lticlas
s
cla
s
s
if
icat
i
o
n
p
r
o
b
lem
to
p
r
ed
ict
o
n
e
o
f
th
r
ee
ev
id
en
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
s
:
h
o
m
e_
r
e
m
ed
y
,
wait_
an
d
_
m
o
n
ito
r
,
o
r
s
ee
_
d
o
cto
r
.
R
ath
er
th
an
p
r
o
v
id
i
n
g
a
d
ef
in
itiv
e
m
ed
ic
al
d
iag
n
o
s
is
,
th
e
class
if
ier
esti
m
a
tes
th
e
m
o
s
t
ap
p
r
o
p
r
iat
e
lev
el
o
f
clin
ical
atten
tio
n
b
ased
o
n
th
e
a
v
ailab
le
p
atien
t
in
f
o
r
m
atio
n
.
T
h
is
ap
p
r
o
ac
h
s
u
p
p
o
r
ts
ea
r
ly
h
ea
lth
ca
r
e
g
u
id
a
n
ce
wh
ile
en
s
u
r
in
g
th
at
f
in
al
d
iag
n
o
s
tic
d
ec
is
io
n
s
r
em
ain
u
n
d
er
th
e
s
u
p
er
v
is
io
n
o
f
q
u
alif
ie
d
h
ea
lth
ca
r
e
p
r
o
f
ess
io
n
als.
Du
r
in
g
in
f
er
e
n
ce
,
t
h
e
tr
ain
e
d
XGBo
o
s
t
m
o
d
el
ev
alu
ates
t
h
e
s
tr
u
ctu
r
e
d
clin
ical
f
ea
tu
r
e
v
ec
to
r
a
n
d
ass
ig
n
s
a
p
r
o
b
ab
ilit
y
s
co
r
e
to
ea
ch
tr
iag
e
ca
teg
o
r
y
.
T
h
e
r
ec
o
m
m
en
d
atio
n
with
th
e
h
ig
h
est
p
o
s
ter
io
r
p
r
o
b
a
b
ilit
y
is
s
elec
ted
as
th
e
s
y
s
tem
o
u
tp
u
t
an
d
s
u
b
s
eq
u
en
tly
tr
an
s
lated
i
n
to
a
u
s
er
-
f
r
ien
d
ly
r
esp
o
n
s
e.
I
n
ad
d
itio
n
,
t
h
e
tr
ee
-
b
ased
ar
ch
itectu
r
e
en
ab
les
f
ea
tu
r
e
im
p
o
r
tan
ce
an
al
y
s
is
,
allo
win
g
th
e
co
n
tr
ib
u
ti
o
n
o
f
in
d
iv
id
u
al
clin
ical
v
a
r
iab
les
t
o
b
e
ex
a
m
in
ed
.
T
h
is
lev
el
o
f
tr
an
s
p
ar
en
cy
en
h
an
ce
s
th
e
in
ter
p
r
etab
il
ity
o
f
th
e
d
ec
is
io
n
-
m
ak
in
g
p
r
o
ce
s
s
an
d
s
u
p
p
o
r
ts
g
r
ea
ter
tr
u
s
t in
AI
-
ass
is
ted
h
ea
lth
ca
r
e
ap
p
licatio
n
s
.
T
h
e
in
teg
r
atio
n
o
f
XGBo
o
s
t
with
th
e
t
r
an
s
f
o
r
m
er
-
b
ased
NL
P
m
o
d
u
le
co
m
b
i
n
es
th
e
s
tr
en
g
th
s
o
f
co
n
tex
tu
al
la
n
g
u
a
g
e
u
n
d
er
s
ta
n
d
in
g
an
d
ex
p
lain
ab
le
m
ac
h
i
n
e
lear
n
i
n
g
.
W
h
ile
th
e
NL
P
co
m
p
o
n
en
t
c
o
n
v
e
r
ts
u
n
s
tr
u
ctu
r
ed
p
atien
t
n
ar
r
ativ
e
s
in
to
s
tr
u
ctu
r
ed
clin
ical
in
f
o
r
m
atio
n
,
th
e
XGBo
o
s
t
class
if
ier
p
er
f
o
r
m
s
r
o
b
u
s
t
ev
id
en
ce
-
b
ased
tr
iag
e
u
s
in
g
cl
in
ically
m
ea
n
in
g
f
u
l
f
ea
tu
r
es.
T
h
is
h
y
b
r
i
d
d
esig
n
p
r
o
v
id
es
a
n
ef
f
ec
tiv
e
b
alan
ce
b
etwe
en
p
r
ed
ictiv
e
p
er
f
o
r
m
a
n
ce
,
co
m
p
u
tatio
n
al
ef
f
icien
c
y
,
an
d
in
ter
p
r
eta
b
ilit
y
,
m
ak
i
n
g
it
p
ar
ticu
lar
ly
s
u
itab
le
f
o
r
m
u
ltil
in
g
u
al,
p
r
i
v
a
cy
-
s
en
s
itiv
e,
an
d
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
h
ea
lth
ca
r
e
e
n
v
ir
o
n
m
e
n
ts
.
3
.
5
.
M
o
del
t
ra
ini
ng
a
nd
ev
a
l
ua
t
io
n
T
h
e
p
r
o
p
o
s
ed
h
y
b
r
id
f
r
am
ewo
r
k
was
tr
ain
ed
b
y
in
d
e
p
en
d
e
n
tly
o
p
tim
izin
g
th
e
NL
P
c
o
m
p
o
n
en
ts
an
d
th
e
XGBo
o
s
t
-
b
ased
tr
iag
e
m
o
d
el
b
e
f
o
r
e
in
teg
r
atin
g
th
e
m
in
to
a
u
n
if
ied
i
n
f
er
en
ce
p
ip
elin
e.
T
h
is
m
o
d
u
lar
tr
ain
in
g
s
tr
ateg
y
allo
wed
ea
ch
co
m
p
o
n
e
n
t
to
b
e
o
p
tim
ized
a
cc
o
r
d
in
g
to
its
s
p
ec
if
ic
lear
n
in
g
o
b
jectiv
e
wh
ile
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
7
2
2
-
3
2
2
1
C
o
m
p
u
t Sci
I
n
f
T
ec
h
n
o
l
,
Vo
l.
7
,
No
.
3
,
No
v
em
b
er
20
26
:
3
5
3
-
368
358
m
ain
tain
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g
f
lex
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ilit
y
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o
r
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t
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r
e
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p
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ates.
Fo
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th
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NL
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le,
th
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ltil
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al
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r
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u
s
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to
tr
ain
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e
in
ten
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class
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icatio
n
an
d
m
e
d
ical
en
tity
r
ec
o
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n
itio
n
m
o
d
els.
T
h
e
tr
a
n
s
latio
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co
m
p
o
n
e
n
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em
p
lo
y
ed
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p
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e
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tr
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200
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er
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ased
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ag
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er
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o
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el
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ec
o
g
n
ize
h
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ca
r
e
in
ten
ts
an
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ically
r
elev
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t
en
titi
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r
o
m
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atien
t
n
ar
r
ativ
es.
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h
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e
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tr
ac
ted
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f
o
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m
atio
n
was
s
u
b
s
eq
u
en
tl
y
tr
an
s
f
o
r
m
ed
in
to
s
tr
u
ctu
r
ed
f
ea
tu
r
e
v
ec
to
r
s
th
at
s
er
v
ed
as
in
p
u
t
t
o
th
e
tr
iag
e
r
ec
o
m
m
en
d
atio
n
m
o
d
el.
T
h
e
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o
s
t
class
if
ier
was
tr
ain
ed
u
s
in
g
th
e
an
o
n
y
m
ized
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HR
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ataset
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r
o
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ately
2
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,
0
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s
tr
u
ctu
r
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p
atien
t
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o
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d
s
.
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r
to
tr
ain
in
g
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ca
t
eg
o
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ical
v
ar
ia
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les
wer
e
en
co
d
ed
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to
n
u
m
er
ical
r
e
p
r
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tatio
n
s
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ile
m
is
s
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g
v
alu
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an
d
led
u
s
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th
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n
ativ
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m
is
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g
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ca
p
a
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ilit
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t.
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el
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m
to
p
r
e
d
ict
o
n
e
o
f
th
e
p
r
e
d
ef
in
ed
tr
iag
e
r
ec
o
m
m
en
d
atio
n
s
:
h
o
m
e
_
r
em
ed
y
,
wait_
an
d
_
m
o
n
ito
r
,
o
r
s
ee
_
d
o
cto
r
.
T
o
im
p
r
o
v
e
m
o
d
el
r
o
b
u
s
tn
ess
an
d
r
ed
u
ce
o
v
er
f
itti
n
g
,
h
y
p
er
p
a
r
am
eter
s
wer
e
o
p
tim
ized
u
s
in
g
cr
o
s
s
-
v
a
lid
atio
n
,
an
d
th
e
f
in
al
m
o
d
el
w
as selecte
d
b
ased
o
n
it
s
v
alid
atio
n
p
er
f
o
r
m
a
n
ce
.
Mo
d
el
p
er
f
o
r
m
an
ce
was
ev
alu
ated
u
s
in
g
s
tan
d
ar
d
m
u
lt
iclass
c
lass
if
icatio
n
m
etr
ics,
in
clu
d
in
g
ac
cu
r
ac
y
,
p
r
ec
is
io
n
,
r
ec
all,
an
d
F1
-
s
co
r
e,
wh
ich
co
llectiv
el
y
ass
ess
p
r
ed
ictiv
e
p
er
f
o
r
m
an
ce
ac
r
o
s
s
all
tr
iag
e
ca
teg
o
r
ies.
I
n
ad
d
itio
n
,
tr
a
n
s
latio
n
q
u
ality
was
m
ea
s
u
r
ed
u
s
in
g
b
id
ir
ec
tio
n
al
E
n
g
lis
h
–
Sh
o
n
a
tr
an
s
latio
n
ac
cu
r
ac
y
,
w
h
ile
th
e
NL
P
m
o
d
u
le
was
ev
alu
ate
d
b
ased
o
n
s
y
m
p
t
o
m
ex
tr
ac
tio
n
ac
cu
r
ac
y
.
T
h
e
o
v
e
r
all
ef
f
ec
tiv
en
ess
o
f
t
h
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
was
ass
ess
ed
th
r
o
u
g
h
en
d
-
to
-
en
d
tr
iag
e
p
r
e
d
ic
tio
n
,
m
ea
s
u
r
in
g
th
e
s
y
s
tem
’
s
ab
ilit
y
to
tr
an
s
f
o
r
m
m
u
ltil
in
g
u
al
p
atien
t
n
ar
r
ativ
es
in
to
clin
ically
ap
p
r
o
p
r
iate
r
ec
o
m
m
en
d
atio
n
s
.
T
h
e
m
o
d
u
lar
e
v
alu
atio
n
s
tr
ateg
y
en
ab
le
d
th
e
p
er
f
o
r
m
a
n
ce
o
f
ea
c
h
s
u
b
s
y
s
tem
(
tr
a
n
s
latio
n
,
lan
g
u
a
g
e
u
n
d
er
s
tan
d
i
n
g
,
a
n
d
clin
ical
d
ec
is
io
n
-
m
ak
in
g
)
to
b
e
ass
ess
e
d
in
d
ep
e
n
d
en
tly
b
ef
o
r
e
ev
al
u
atin
g
th
e
in
teg
r
ated
f
r
am
ewo
r
k
.
T
h
is
co
m
p
r
eh
e
n
s
iv
e
ev
alu
atio
n
p
r
o
v
id
es
a
m
o
r
e
r
eliab
le
ass
ess
m
en
t
o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
ar
ch
itectu
r
e
a
n
d
f
ac
ilit
ates
th
e
id
en
tific
atio
n
o
f
p
o
te
n
tial
p
er
f
o
r
m
an
ce
b
o
ttlen
ec
k
s
in
m
u
lti
lin
g
u
al
AI
-
ass
is
ted
h
ea
lth
ca
r
e
ap
p
licatio
n
s
.
3
.
6
.
Rea
l
-
t
im
e
infe
re
nce
wo
r
k
f
lo
w
Du
r
in
g
d
e
p
lo
y
m
e
n
t,
C
I
MA
S
Hea
lth
Ma
te
p
er
f
o
r
m
s
s
y
m
p
t
o
m
tr
iag
e
th
r
o
u
g
h
a
s
eq
u
en
tial
r
ea
l
-
tim
e
in
f
er
en
ce
p
ip
elin
e
th
at
in
teg
r
at
es m
u
ltil
in
g
u
al
NL
P
wi
th
ex
p
lain
ab
le
m
a
ch
in
e
lear
n
in
g
.
Fig
u
r
e
2
illu
s
tr
ates th
e
o
v
er
all
in
f
e
r
en
ce
wo
r
k
f
l
o
w,
b
eg
in
n
in
g
with
p
atien
t
i
n
p
u
t
an
d
en
d
i
n
g
with
an
e
v
i
d
en
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
.
T
h
e
wo
r
k
f
lo
w
s
tar
ts
wh
en
a
p
atien
t
s
u
b
m
its
a
s
y
m
p
to
m
d
escr
ip
tio
n
th
r
o
u
g
h
th
e
co
n
v
er
s
atio
n
al
in
te
r
f
ac
e
.
T
h
e
s
y
s
tem
f
ir
s
t
d
etec
ts
th
e
in
p
u
t
lan
g
u
ag
e
a
n
d
,
wh
en
n
ec
ess
ar
y
,
tr
an
s
lates
Sh
o
n
a
tex
t
in
to
E
n
g
lis
h
u
s
in
g
th
e
o
f
f
lin
e
NL
L
B
-
2
0
0
tr
an
s
latio
n
m
o
d
el.
T
h
is
p
r
ep
r
o
ce
s
s
in
g
s
tep
s
tan
d
ar
d
izes
m
u
ltil
in
g
u
al
in
p
u
ts
wh
ile
en
s
u
r
in
g
r
eliab
le
o
p
er
atio
n
with
o
u
t
in
ter
n
et
co
n
n
ec
tiv
ity
.
Fig
u
r
e
2
.
R
ea
l
-
tim
e
in
f
er
e
n
ce
wo
r
k
f
lo
w
o
f
C
I
MA
S He
alth
Ma
te
T
h
e
tr
an
s
lated
tex
t
is
th
en
p
r
o
ce
s
s
ed
b
y
th
e
B
E
R
T
-
b
ased
N
L
P
m
o
d
u
le
to
id
en
tify
th
e
u
s
e
r
’
s
clin
ical
in
ten
t
an
d
ex
tr
ac
t
m
ed
ically
r
elev
an
t
en
titi
es,
in
clu
d
in
g
r
e
p
o
r
ted
s
y
m
p
to
m
s
,
s
y
m
p
to
m
d
u
r
atio
n
,
s
ev
er
ity
,
cu
r
r
en
t
m
ed
icatio
n
s
,
p
r
e
-
e
x
is
tin
g
m
ed
ical
co
n
d
itio
n
s
,
an
d
o
th
er
co
n
te
x
tu
al
in
f
o
r
m
atio
n
.
T
h
ese
e
x
tr
ac
ted
en
titi
es
ar
e
n
o
r
m
alize
d
an
d
tr
an
s
f
o
r
m
ed
in
to
a
s
tr
u
ctu
r
e
d
f
ea
tu
r
e
v
ec
to
r
th
at
r
ep
r
esen
ts
th
e
p
atien
t
’
s
clin
ical
pr
o
f
ile.
T
h
e
s
tr
u
ct
u
r
ed
f
ea
tu
r
e
v
ec
to
r
is
s
u
b
s
eq
u
e
n
tly
p
a
s
s
ed
to
th
e
tr
ai
n
ed
XGBo
o
s
t
class
if
ier
,
wh
ich
ev
alu
ates
th
e
p
atien
t
’
s
co
n
d
iti
o
n
a
n
d
esti
m
ates
th
e
p
r
o
b
a
b
ilit
y
o
f
ea
ch
p
r
e
d
ef
in
e
d
tr
ia
g
e
ca
teg
o
r
y
.
T
h
e
class
with
th
e
h
ig
h
est
p
r
ed
icted
p
r
o
b
ab
ilit
y
is
s
el
ec
ted
as
th
e
f
i
n
a
l
r
ec
o
m
m
e
n
d
atio
n
,
co
r
r
esp
o
n
d
in
g
to
o
n
e
o
f
th
r
ee
Evaluation Warning : The document was created with Spire.PDF for Python.
C
o
m
p
u
t Sci
I
n
f
T
ec
h
n
o
l
I
SS
N:
2722
-
3
2
2
1
A
r
tifi
cia
l in
tellig
en
ce
h
ea
lth
a
s
s
is
ta
n
t c
o
mb
in
in
g
tr
a
n
s
fo
r
me
r
s
a
n
d
X
GB
o
o
s
t fo
r
…
(
S
h
a
mi
s
o
S
ima
n
g
o
)
359
clin
ical
o
u
tco
m
es:
h
o
m
e_
r
e
m
ed
y
,
wait_
an
d
_
m
o
n
ito
r
,
o
r
s
ee
_
d
o
cto
r
.
R
ath
er
th
an
p
r
o
v
id
in
g
a
m
ed
ical
d
iag
n
o
s
is
,
th
e
s
y
s
tem
g
en
er
ates
ev
id
en
ce
-
b
ased
tr
iag
e
g
u
id
an
ce
to
ass
is
t
p
atien
ts
in
d
eter
m
in
i
n
g
t
h
e
ap
p
r
o
p
r
iate
lev
el
o
f
h
ea
lth
ca
r
e
atten
tio
n
.
Fin
ally
,
th
e
p
r
ed
icted
r
ec
o
m
m
en
d
atio
n
is
c
o
n
v
e
r
ted
in
t
o
a
n
atu
r
al
lan
g
u
ag
e
r
esp
o
n
s
e
a
n
d
p
r
esen
ted
to
th
e
u
s
er
in
t
h
e
p
r
ef
er
r
e
d
la
n
g
u
ag
e
.
W
h
en
t
h
e
o
r
ig
in
al
q
u
er
y
is
s
u
b
m
itted
in
Sh
o
n
a,
th
e
r
ec
o
m
m
e
n
d
atio
n
is
tr
an
s
lated
b
ac
k
in
to
Sh
o
n
a
u
s
in
g
th
e
o
f
f
lin
e
t
r
an
s
latio
n
m
o
d
u
le.
T
h
is
b
id
ir
ec
tio
n
al
m
u
ltil
in
g
u
al
wo
r
k
f
lo
w
en
s
u
r
es
lin
g
u
is
tic
ac
ce
s
s
ib
ilit
y
wh
ile
p
r
eser
v
in
g
th
e
clin
ica
l
m
ea
n
in
g
o
f
th
e
r
ec
o
m
m
en
d
atio
n
.
T
h
e
m
o
d
u
lar
in
f
er
en
ce
p
ip
elin
e
en
a
b
les
ea
ch
p
r
o
ce
s
s
in
g
c
o
m
p
o
n
en
t
to
o
p
er
ate
in
d
ep
en
d
en
tly
wh
ile
ex
ch
an
g
in
g
s
tan
d
ar
d
ized
s
tr
u
ctu
r
ed
in
f
o
r
m
atio
n
.
C
o
n
s
eq
u
en
tly
,
th
e
p
r
o
p
o
s
ed
f
r
am
ew
o
r
k
ac
h
ie
v
es
lo
w
-
laten
cy
,
p
r
i
v
ac
y
-
p
r
eser
v
in
g
,
an
d
m
u
ltil
in
g
u
al
s
y
m
p
to
m
tr
iag
e
t
h
at
is
s
u
itab
le
f
o
r
d
ep
l
o
y
m
e
n
t
in
lo
w
-
b
an
d
wid
th
an
d
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
h
ea
lth
ca
r
e
en
v
ir
o
n
m
en
ts
.
3
.
7
.
I
m
ple
m
ent
a
t
io
n
e
nv
iro
nm
ent
T
h
e
p
r
o
p
o
s
ed
C
I
MA
S
Hea
lt
h
Ma
te
f
r
am
ewo
r
k
was
im
p
lem
en
ted
u
s
in
g
Py
th
o
n
as
th
e
p
r
im
ar
y
d
ev
elo
p
m
e
n
t
p
latf
o
r
m
,
in
teg
r
atin
g
th
e
h
u
g
g
in
g
f
ac
e
tr
a
n
s
f
o
r
m
er
s
,
XGBo
o
s
t,
an
d
s
cik
i
t
-
lear
n
lib
r
a
r
ies
to
s
u
p
p
o
r
t
m
u
ltil
in
g
u
al
NL
P
an
d
ex
p
lain
a
b
le
m
ac
h
in
e
lear
n
in
g
.
A
Stre
am
lit
-
b
ased
web
i
n
ter
f
ac
e
was
d
ev
elo
p
ed
to
p
r
o
v
id
e
an
in
ter
ac
tiv
e
co
n
v
er
s
atio
n
al
en
v
ir
o
n
m
en
t
f
o
r
p
atien
t
–
s
y
s
tem
co
m
m
u
n
icatio
n
,
en
ab
lin
g
r
ea
l
-
tim
e
s
y
m
p
to
m
ass
ess
m
en
t
an
d
tr
ia
g
e
r
ec
o
m
m
e
n
d
atio
n
s
.
T
o
e
n
s
u
r
e
ef
f
icien
t
d
ep
lo
y
m
en
t
a
n
d
m
i
n
im
ize
d
ep
e
n
d
en
ce
o
n
ex
te
r
n
al
s
er
v
ices,
all
tr
ain
e
d
m
o
d
els
wer
e
d
e
p
lo
y
e
d
lo
ca
l
ly
.
T
h
e
B
E
R
T
-
b
ased
in
ten
t
cl
ass
if
icatio
n
m
o
d
el,
th
e
f
ea
tu
r
e
en
g
i
n
ee
r
in
g
p
ip
elin
e,
an
d
th
e
XGBo
o
s
t tr
iag
e
class
if
ier
wer
e
s
er
ialized
u
s
in
g
th
e
jo
b
lib
f
r
am
ewo
r
k
an
d
r
el
o
ad
ed
d
u
r
in
g
r
u
n
tim
e
.
Similar
ly
,
th
e
NL
L
B
-
200
-
d
is
till
ed
-
6
0
0
M
tr
a
n
s
latio
n
m
o
d
el
was
ex
ec
u
ted
en
tire
ly
o
f
f
lin
e,
elim
in
atin
g
th
e
n
ee
d
f
o
r
clo
u
d
-
b
ased
tr
a
n
s
latio
n
s
er
v
ices.
T
h
is
d
ep
lo
y
m
en
t
s
tr
ateg
y
im
p
r
o
v
es
d
ata
p
r
iv
ac
y
,
r
ed
u
ce
s
in
f
er
en
ce
laten
cy
,
an
d
e
n
ab
les
r
eliab
le
o
p
er
atio
n
in
en
v
i
r
o
n
m
e
n
t
s
with
lim
ited
o
r
in
ter
m
itten
t
in
ter
n
et
co
n
n
ec
tiv
ity
.
T
h
e
s
y
s
tem
was
d
es
ig
n
ed
as
a
m
o
d
u
lar
p
r
o
ce
s
s
in
g
p
ip
elin
e
in
wh
ich
ea
ch
co
m
p
o
n
en
t
p
er
f
o
r
m
s
an
in
d
ep
en
d
en
t
task
wh
ile
ex
ch
a
n
g
in
g
s
tan
d
ar
d
ized
s
tr
u
ctu
r
e
d
d
ata
with
s
u
b
s
eq
u
en
t
m
o
d
u
les.
Su
ch
a
m
o
d
u
lar
ar
ch
itectu
r
e
s
im
p
lifie
s
m
ain
ten
an
ce
,
f
ac
ilit
ates
in
d
ep
en
d
en
t
m
o
d
el
u
p
d
ates,
an
d
all
o
ws
ad
d
itio
n
al
lan
g
u
ag
es
o
r
clin
ical
d
ec
is
io
n
m
o
d
els
to
b
e
in
co
r
p
o
r
ated
with
o
u
t
r
ed
esig
n
in
g
th
e
en
tire
f
r
am
e
wo
r
k
.
Fu
r
th
er
m
o
r
e,
th
e
lo
ca
l
e
x
ec
u
tio
n
o
f
all
p
r
o
ce
s
s
in
g
co
m
p
o
n
en
ts
s
u
p
p
o
r
t
s
co
m
p
lian
ce
with
p
r
i
v
ac
y
-
by
-
d
esig
n
p
r
in
cip
les
b
y
en
s
u
r
i
n
g
th
at
s
en
s
itiv
e
p
atien
t
in
f
o
r
m
atio
n
r
e
m
ain
s
with
in
th
e
d
ep
l
o
y
m
en
t
en
v
ir
o
n
m
e
n
t.
Ov
er
all,
th
e
p
r
o
p
o
s
ed
im
p
lem
en
tatio
n
p
r
o
v
id
e
s
a
lig
h
tweig
h
t,
s
ca
lab
le,
an
d
p
r
iv
ac
y
-
p
r
eser
v
in
g
p
latf
o
r
m
ca
p
ab
le
o
f
d
eliv
er
in
g
m
u
ltil
in
g
u
al
AI
-
a
s
s
is
ted
s
y
m
p
to
m
tr
iag
e
in
r
ea
l
tim
e.
T
h
ese
ch
ar
ac
ter
is
t
ics
m
ak
e
C
I
MA
S
Hea
lth
Ma
te
p
ar
ticu
lar
ly
s
u
it
ab
le
f
o
r
d
ep
lo
y
m
en
t
i
n
lo
w
-
r
eso
u
r
ce
h
ea
lth
ca
r
e
s
ettin
g
s
,
wh
e
r
e
lim
ited
co
m
p
u
tatio
n
al
in
f
r
astru
ctu
r
e,
r
estricte
d
n
etwo
r
k
co
n
n
ec
tiv
ity
,
an
d
s
tr
in
g
en
t
d
ata
p
r
iv
ac
y
r
e
q
u
ir
em
en
ts
p
r
esen
t
s
ig
n
if
ican
t o
p
er
atio
n
al
ch
allen
g
es.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
p
r
esen
ts
th
e
e
x
p
er
im
en
tal
e
v
alu
atio
n
an
d
d
is
cu
s
s
io
n
o
f
th
e
p
r
o
p
o
s
e
d
C
I
MA
S
Hea
lth
Ma
te
f
r
am
ewo
r
k
.
T
h
e
ev
alu
atio
n
aim
s
to
ass
ess
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
h
y
b
r
id
ar
ch
itectu
r
e
i
n
s
u
p
p
o
r
tin
g
m
u
ltil
in
g
u
al
s
y
m
p
to
m
u
n
d
er
s
tan
d
i
n
g
,
ac
cu
r
ate
clin
ical
tr
iag
e,
a
n
d
r
ea
l
-
tim
e
h
e
alth
ca
r
e
ass
is
tan
ce
in
lo
w
-
r
eso
u
r
c
e
en
v
ir
o
n
m
en
ts
.
Per
f
o
r
m
a
n
ce
is
an
al
y
ze
d
f
r
o
m
m
u
ltip
le
p
er
s
p
ec
tiv
es,
in
clu
d
in
g
u
s
er
in
ter
f
ac
e
u
s
ab
ilit
y
,
tr
an
s
latio
n
q
u
ality
,
s
y
m
p
to
m
ex
tr
ac
tio
n
,
tr
iag
e
cl
ass
if
icatio
n
ac
cu
r
ac
y
,
co
m
p
u
t
atio
n
al
ef
f
icien
cy
,
an
d
p
r
i
v
ac
y
-
p
r
eser
v
in
g
d
ep
lo
y
m
en
t.
T
h
e
p
r
o
p
o
s
ed
f
r
a
m
e
wo
r
k
is
e
v
alu
ated
u
s
in
g
b
o
th
q
u
alitativ
e
an
d
q
u
a
n
titativ
e
an
aly
s
es.
Qu
alitativ
e
ev
alu
atio
n
d
em
o
n
s
tr
ates
th
e
u
s
ab
ilit
y
o
f
th
e
m
u
ltil
in
g
u
al
co
n
v
er
s
atio
n
al
i
n
ter
f
ac
e
th
r
o
u
g
h
r
e
p
r
esen
tativ
e
in
ter
ac
tio
n
s
ce
n
ar
io
s
i
n
E
n
g
lis
h
an
d
Sh
o
n
a,
wh
ile
q
u
a
n
titativ
e
ev
alu
at
io
n
m
ea
s
u
r
es
th
e
p
er
f
o
r
m
a
n
ce
o
f
ea
ch
s
y
s
tem
co
m
p
o
n
en
t
u
s
in
g
s
tan
d
ar
d
m
ac
h
in
e
lear
n
in
g
m
etr
ics,
in
clu
d
in
g
tr
an
s
latio
n
a
cc
u
r
ac
y
,
s
y
m
p
to
m
ex
tr
ac
tio
n
ac
c
u
r
ac
y
,
p
r
ec
is
io
n
,
r
ec
all,
an
d
F1
-
s
co
r
e.
I
n
ad
d
itio
n
,
th
e
r
ea
l
-
tim
e
in
f
e
r
e
n
ce
ca
p
a
b
ilit
y
an
d
d
ep
lo
y
m
e
n
t
ch
ar
ac
ter
is
tics
o
f
th
e
s
y
s
tem
ar
e
d
is
cu
s
s
ed
to
ass
ess
it
s
p
r
ac
tical
s
u
itab
ilit
y
f
o
r
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
h
ea
lth
ca
r
e
s
ettin
g
s
.
T
h
e
ex
p
er
im
en
tal
r
esu
lts
d
em
o
n
s
tr
ate
th
at
th
e
in
teg
r
atio
n
o
f
t
r
an
s
f
o
r
m
er
-
b
ased
NL
P
with
an
ex
p
lain
ab
l
e
XGBo
o
s
t
cla
s
s
if
ier
p
r
o
v
id
es
r
el
iab
le
m
u
ltil
in
g
u
al
s
y
m
p
to
m
in
ter
p
r
etatio
n
a
n
d
ac
cu
r
ate
ev
i
d
en
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
s
.
T
h
e
f
o
llo
win
g
s
u
b
s
ec
tio
n
s
p
r
esen
t
th
e
s
y
s
tem
in
ter
f
ac
e
,
ex
p
er
im
en
tal
f
in
d
in
g
s
,
co
m
p
ar
ativ
e
p
er
f
o
r
m
an
ce
an
al
y
s
is
,
an
d
d
is
cu
s
s
io
n
o
f
th
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
’
s
s
tr
en
g
th
s
,
lim
itatio
n
s
,
an
d
p
r
a
ctica
l im
p
licatio
n
s
f
o
r
AI
-
ass
is
ted
h
ea
lth
ca
r
e.
4
.
1
.
User
inte
rf
a
ce
de
m
o
ns
t
ra
t
io
n
T
h
e
C
I
MA
S
Hea
lth
Ma
te
in
ter
f
ac
e
was
d
esig
n
ed
to
p
r
o
v
i
d
e
an
in
tu
itiv
e
an
d
ac
ce
s
s
ib
le
p
latf
o
r
m
f
o
r
m
u
ltil
in
g
u
al
AI
-
ass
is
ted
s
y
m
p
to
m
tr
iag
e.
E
m
p
h
asis
was
p
lac
ed
o
n
s
im
p
licity
,
ea
s
e
o
f
n
av
ig
atio
n
,
an
d
p
atien
t
-
ce
n
ter
ed
in
ter
ac
tio
n
to
e
n
s
u
r
e
th
at
in
d
iv
id
u
als
with
v
ar
y
in
g
lev
els
o
f
d
ig
ital
liter
ac
y
ca
n
ef
f
ec
tiv
ely
u
s
e
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
7
2
2
-
3
2
2
1
C
o
m
p
u
t Sci
I
n
f
T
ec
h
n
o
l
,
Vo
l.
7
,
No
.
3
,
No
v
em
b
er
20
26
:
3
5
3
-
368
360
s
y
s
tem
.
T
h
e
in
ter
f
ac
e
s
u
p
p
o
r
t
s
b
o
th
E
n
g
lis
h
an
d
Sh
o
n
a,
en
ab
lin
g
u
s
er
s
to
co
m
m
u
n
icate
s
y
m
p
to
m
s
in
th
eir
p
r
ef
er
r
e
d
lan
g
u
ag
e
wh
ile
m
ain
tain
in
g
a
co
n
s
is
ten
t
co
n
v
er
s
atio
n
al
wo
r
k
f
lo
w.
Fig
u
r
e
3
p
r
esen
ts
th
e
au
th
en
ticatio
n
an
d
d
ash
b
o
ar
d
in
ter
f
ac
e
o
f
C
I
MA
S
Hea
lth
M
ate.
T
h
e
au
th
en
ticatio
n
p
ag
e
p
r
o
v
id
es
s
ec
u
r
e
u
s
er
ac
ce
s
s
th
r
o
u
g
h
r
eg
is
tr
atio
n
an
d
lo
g
i
n
f
u
n
ctio
n
s
,
wh
ile
t
h
e
d
ash
b
o
a
r
d
s
er
v
es
as
th
e
ce
n
tr
al
in
ter
ac
tio
n
h
u
b
,
o
f
f
er
in
g
ac
ce
s
s
to
AI
-
ass
is
ted
s
y
m
p
to
m
ass
ess
m
en
t,
co
n
v
er
s
atio
n
h
is
to
r
y
,
an
d
s
y
s
tem
f
u
n
ctio
n
s
.
T
h
e
d
ash
b
o
ar
d
also
d
is
p
lay
s
m
u
ltil
in
g
u
al
p
r
o
m
p
ts
an
d
p
r
iv
ac
y
r
em
in
d
er
s
to
en
co
u
r
ag
e
u
s
er
co
n
f
id
en
ce
an
d
r
ein
f
o
r
ce
r
esp
o
n
s
ib
le
h
a
n
d
lin
g
o
f
s
en
s
itiv
e
h
ea
lth
in
f
o
r
m
atio
n
.
Fig
u
r
e
3
.
C
I
MA
S He
alth
Ma
te
d
ash
b
o
ar
d
with
AI
d
iag
n
o
s
es f
ea
tu
r
es
Fig
u
r
e
4
d
e
m
o
n
s
tr
ates
r
ep
r
es
en
tativ
e
in
ter
ac
tio
n
s
b
etwe
en
u
s
er
s
an
d
th
e
VHA
in
b
o
th
Sh
o
n
a
an
d
E
n
g
lis
h
.
Af
ter
r
ec
eiv
in
g
a
p
atien
t
’
s
s
y
m
p
to
m
d
escr
ip
tio
n
,
th
e
s
y
s
tem
au
to
m
atica
lly
id
en
tifie
s
th
e
in
p
u
t
lan
g
u
ag
e,
p
er
f
o
r
m
s
m
u
ltil
in
g
u
al
NL
P
,
ex
tr
ac
ts
clin
ically
r
elev
an
t
in
f
o
r
m
atio
n
,
an
d
g
en
er
ates
an
ev
id
en
ce
-
b
ased
tr
iag
e
r
ec
o
m
m
en
d
atio
n
.
T
h
e
r
esp
o
n
s
es
ar
e
p
r
esen
ted
in
n
atu
r
al
lan
g
u
a
g
e
u
s
in
g
cu
lt
u
r
ally
ap
p
r
o
p
r
iate
ter
m
in
o
lo
g
y
,
en
s
u
r
in
g
th
at
h
e
alth
ca
r
e
g
u
id
a
n
ce
r
em
ai
n
s
u
n
d
er
s
tan
d
ab
le
an
d
ac
ce
s
s
ib
le
to
u
s
er
s
r
eg
ar
d
les
s
o
f
th
eir
lan
g
u
a
g
e
p
r
e
f
er
en
ce
.
Fig
u
r
e
4
.
C
I
MA
S He
alth
Ma
te
d
ash
b
o
ar
d
T
h
e
d
em
o
n
s
tr
ated
in
ter
ac
tio
n
s
co
n
f
ir
m
th
at
th
e
p
r
o
p
o
s
ed
f
r
am
ewo
r
k
s
u
cc
ess
f
u
lly
in
teg
r
ates
m
u
ltil
in
g
u
al
co
m
m
u
n
icatio
n
,
co
n
tex
tu
al
lan
g
u
ag
e
u
n
d
er
s
tan
d
in
g
,
an
d
ex
p
lain
a
b
le
clin
ic
al
d
ec
is
io
n
-
m
ak
in
g
with
in
a
u
n
if
ied
c
o
n
v
e
r
s
atio
n
al
in
ter
f
ac
e.
B
y
p
r
o
v
id
i
n
g
r
ea
l
-
tim
e
s
y
m
p
to
m
ass
ess
m
en
t
an
d
u
s
er
-
f
r
ien
d
ly
f
ee
d
b
ac
k
,
th
e
in
ter
f
ac
e
e
n
h
an
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C
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ased
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ased
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T
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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C
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ased
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ased
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ased
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ates
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