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I
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20
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3075
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n
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ts
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ise
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ta
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s a
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d
issu
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s with
sy
ste
m
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tero
p
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ra
b
i
li
ty
.
K
ey
w
o
r
d
s
:
Ar
tific
ial
in
tellig
en
ce
Au
to
m
atio
n
Hea
lth
ca
r
e
I
n
ter
n
et
o
f
th
in
g
s
Patien
t m
o
n
ito
r
in
g
Secu
r
ity
T
h
is i
s
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n
o
p
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n
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c
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ss
a
rticle
u
n
d
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r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Kam
al
E
lh
attab
E
L
I
T
E
S lab
o
r
ato
r
y
,
C
o
m
p
u
ter
o
f
Scien
ce
,
Facu
lty
o
f
Scien
c
es,
C
h
o
u
aib
Do
u
k
k
ali
Un
iv
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s
ity
E
l Jad
id
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Mo
r
o
cc
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E
m
ail: e
lh
attab
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k
@
u
cd
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ac
.
m
a
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
in
ter
n
et
o
f
th
in
g
s
(
I
o
T
)
co
n
n
ec
ts
p
h
y
s
ical
d
ev
ices
th
at
ar
e
in
teg
r
ated
with
s
en
s
o
r
s
,
s
o
f
t
war
e,
an
d
co
m
m
u
n
icatio
n
tech
n
o
lo
g
ies,
en
ab
lin
g
ef
f
icien
t
d
ata
c
o
llectio
n
an
d
s
h
ar
i
n
g
[
1
]
–
[
4
]
.
T
h
is
in
n
o
v
atio
n
p
la
y
s
a
cr
u
cial
r
o
le
in
ad
v
a
n
cin
g
au
to
m
atio
n
,
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
,
an
d
d
ata
-
d
r
iv
en
d
ec
is
io
n
-
m
a
k
in
g
ac
r
o
s
s
v
ar
io
u
s
s
ec
to
r
s
[
5
]
–
[
9
]
.
I
n
h
ea
lth
ca
r
e,
I
o
T
s
u
p
p
o
r
ts
n
u
m
er
o
u
s
ap
p
licatio
n
s
,
in
clu
d
in
g
r
em
o
te
m
o
n
ito
r
in
g
o
f
p
atien
ts
,
m
an
ag
in
g
elec
tr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
,
an
d
th
e
u
s
e
o
f
a
d
v
an
ce
d
m
ed
ical
d
ev
ices
[
1
0
]
–
[
1
4
]
.
W
h
en
c
o
m
b
in
e
d
with
ar
tific
ial
in
tellig
en
ce
(
AI
)
,
I
o
T
s
y
s
tem
s
o
f
f
er
ev
e
n
m
o
r
e
p
o
wer
f
u
l
ca
p
ab
ilit
ies,
s
u
ch
as
p
r
ed
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e
an
aly
tics
,
p
er
s
o
n
alize
d
h
ea
lth
ca
r
e
s
tr
ateg
ies,
an
d
o
p
tim
ized
m
an
ag
em
e
n
t
o
f
r
eso
u
r
ce
s
.
Dev
ices
lik
e
wea
r
ab
les,
s
m
ar
t
im
p
lan
ts
,
a
n
d
r
em
o
te
m
o
n
ito
r
in
g
tech
n
o
lo
g
ies,
as
p
ar
t
o
f
I
o
T
s
y
s
tem
s
,
p
r
o
v
id
e
d
etailed
in
f
o
r
m
atio
n
o
n
p
atien
t
h
ea
lth
,
tr
ea
tm
en
t
p
r
o
g
r
ess
,
an
d
r
eso
u
r
ce
u
tili
za
tio
n
[
1
5
]
–
[
2
0
]
.
T
h
is
p
ap
er
ex
p
lo
r
es
th
e
in
teg
r
atio
n
o
f
I
o
T
an
d
AI
with
in
th
e
h
ea
lth
ca
r
e
s
ec
to
r
,
h
ig
h
li
g
h
tin
g
th
eir
s
ig
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if
ican
t r
o
les in
en
h
an
cin
g
p
atien
t
ca
r
e
an
d
s
tr
ea
m
lin
in
g
o
p
er
at
io
n
al
p
r
o
ce
s
s
es.
I
t
ex
am
in
es
h
o
w
th
ese
tec
h
n
o
lo
g
ies
h
a
v
e
th
e
p
o
ten
tial
to
r
ev
o
lu
tio
n
ize
h
ea
lth
ca
r
e
b
y
i
m
p
r
o
v
i
n
g
p
atie
n
t
o
u
tco
m
es,
o
p
tim
izin
g
wo
r
k
f
lo
ws,
an
d
a
d
d
r
ess
in
g
p
er
s
is
ten
t
in
d
u
s
tr
y
ch
allen
g
es
[
2
1
]
–
[
2
5
]
.
A
d
ee
p
u
n
d
e
r
s
tan
d
in
g
o
f
h
o
w
I
o
T
an
d
AI
ar
e
a
p
p
lied
in
h
ea
lth
ca
r
e
is
ess
en
tia
l
f
o
r
d
r
i
v
in
g
p
r
o
g
r
ess
an
d
en
s
u
r
in
g
th
e
s
u
cc
ess
f
u
l
ad
o
p
tio
n
o
f
th
ese
tech
n
o
l
o
g
ies
[
2
6
]
–
[
3
0
]
.
Hea
lth
ca
r
e
I
o
T
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
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I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
3
0
7
5
-
3
0
8
3
3076
s
y
s
tem
s
ar
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co
m
p
o
s
ed
o
f
f
o
u
r
cr
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co
m
p
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aly
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aliza
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ap
p
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as sh
o
wn
in
Fig
u
r
e
1
.
a.
Data
co
llectio
n
:
T
h
is
f
ir
s
t
s
tep
in
v
o
l
v
es
g
ath
e
r
in
g
in
f
o
r
m
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n
f
r
o
m
v
ar
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s
h
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lth
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r
e
d
ev
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d
in
g
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r
ab
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s
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s
,
s
m
ar
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im
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n
ito
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d
ev
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ac
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im
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tan
t
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alth
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eter
s
lik
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ate,
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lo
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e,
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ata
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o
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b.
Data
tr
an
s
m
is
s
io
n
:
On
ce
th
e
d
ata
is
co
llected
,
it
is
tr
an
s
m
itted
to
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
o
r
clo
u
d
-
b
ased
p
latf
o
r
m
s
f
o
r
p
r
o
ce
s
s
in
g
.
T
h
i
s
s
tag
e
u
tili
ze
s
co
m
m
u
n
icatio
n
tech
n
o
lo
g
ies
s
u
ch
as
W
i
-
Fi,
B
lu
eto
o
th
,
an
d
ce
llu
lar
n
etwo
r
k
s
,
wh
ich
f
ac
ilit
ate
s
ec
u
r
e
an
d
s
ea
m
less
d
ata
tr
an
s
f
er
to
e
n
s
u
r
e
tim
ely
an
d
r
e
liab
le
ac
ce
s
s
.
c.
Data
p
r
o
ce
s
s
i
n
g
:
At
th
is
s
tag
e,
th
e
co
llected
d
ata
is
an
al
y
ze
d
u
s
in
g
ad
v
a
n
ce
d
AI
tech
n
iq
u
es,
in
clu
d
i
n
g
m
ac
h
in
e
lear
n
in
g
an
d
d
ee
p
l
ea
r
n
in
g
m
o
d
els.
T
h
ese
m
eth
o
d
s
allo
w
h
ea
lth
ca
r
e
p
r
o
f
ess
io
n
als
to
ex
tr
ac
t
v
alu
ab
le
in
s
ig
h
ts
,
p
r
ed
ict
p
o
t
en
tial
h
ea
lth
tr
en
d
s
,
a
n
d
s
u
p
p
o
r
t
d
ata
-
d
r
iv
en
d
ec
is
io
n
-
m
a
k
in
g
,
lead
i
n
g
t
o
b
etter
p
atien
t c
ar
e.
d.
Vis
u
aliza
tio
n
an
d
o
p
er
atio
n
s
m
an
ag
em
en
t
:
Af
ter
d
ata
an
al
y
s
is
,
th
e
in
s
ig
h
ts
ar
e
p
r
esen
te
d
to
h
ea
lth
ca
r
e
p
r
o
v
id
e
r
s
v
ia
u
s
er
-
f
r
ien
d
ly
p
latf
o
r
m
s
,
s
u
ch
as
d
ash
b
o
ar
d
s
o
r
m
o
b
ile
ap
p
s
.
T
h
ese
v
is
u
aliza
tio
n
to
o
ls
en
ab
le
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
,
im
p
r
o
v
e
d
ec
is
io
n
-
m
ak
in
g
ca
p
ab
ilit
ies,
an
d
o
p
tim
ize
o
p
er
atio
n
a
l
m
an
ag
em
en
t,
co
n
tr
ib
u
tin
g
to
m
o
r
e
ef
f
icien
t
an
d
ef
f
ec
tiv
e
h
ea
lth
ca
r
e
d
eliv
e
r
y
.
Fig
u
r
e
1
.
T
h
e
I
o
T
s
y
s
tem
in
h
ea
lth
ca
r
e
s
ec
tio
n
s
Ou
r
p
ap
er
is
co
m
p
o
s
ed
o
f
s
ev
er
al
d
is
tin
ct
s
ec
tio
n
s
th
at
th
o
r
o
u
g
h
ly
ex
p
lo
r
e
th
e
im
p
ac
t
o
f
I
o
T
an
d
AI
o
n
h
ea
lth
ca
r
e.
Sectio
n
1
h
ig
h
li
g
h
ts
th
e
s
ig
n
if
ican
ce
o
f
th
ese
t
ec
h
n
o
lo
g
ies
in
r
ev
o
lu
tio
n
izin
g
m
ed
ical
p
r
ac
tices
b
y
o
f
f
e
r
in
g
co
n
tin
u
o
u
s
m
o
n
it
o
r
in
g
,
p
er
s
o
n
alize
d
tr
ea
tm
en
t
s
,
an
d
o
p
tim
ized
r
eso
u
r
ce
m
an
ag
em
en
t.
I
t
also
p
r
esen
ts
th
e
s
tr
u
ctu
r
e
o
f
th
e
ar
ticle,
ex
p
lain
in
g
wh
y
th
e
s
tu
d
y
o
f
I
o
T
a
n
d
AI
in
teg
r
atio
n
an
d
ap
p
licatio
n
s
is
cr
u
cial
f
o
r
a
d
v
an
ci
n
g
h
ea
lt
h
ca
r
e
p
r
ac
tices
an
d
m
a
x
im
izin
g
t
h
e
u
s
e
o
f
tec
h
n
o
lo
g
ical
ad
v
a
n
ce
m
en
ts
.
Sectio
n
2
o
u
tlin
es
th
e
s
y
s
tem
atic
liter
at
u
r
e
r
ev
iew
ap
p
r
o
ac
h
u
s
ed
to
id
en
tify
an
d
an
aly
ze
I
o
T
an
d
AI
ap
p
licatio
n
s
in
h
ea
lth
ca
r
e.
T
h
is
s
ec
tio
n
d
etail
s
th
e
m
eth
o
d
s
f
o
r
ass
ess
in
g
p
r
ac
tical
ap
p
licatio
n
s
,
d
ata
p
r
o
ce
s
s
in
g
tech
n
iq
u
es,
an
d
ass
o
ciate
d
ch
allen
g
es.
Se
ctio
n
3
d
escr
ib
es
th
e
k
ey
co
m
p
o
n
e
n
ts
o
f
I
o
T
s
y
s
tem
s
u
s
ed
in
h
ea
lth
ca
r
e.
I
t
co
v
er
s
asp
ec
ts
o
f
d
ata
ac
q
u
i
s
itio
n
,
tr
an
s
m
is
s
io
n
,
an
aly
s
is
,
an
d
v
is
u
aliza
tio
n
,
as
well
as
co
m
m
u
n
icatio
n
tech
n
o
lo
g
ies,
s
p
ec
tr
u
m
u
s
ag
e
,
an
d
s
tan
d
ar
d
s
ess
en
tial
f
o
r
I
o
T
ap
p
licatio
n
s
.
Sectio
n
4
ex
p
lo
r
es
s
p
ec
if
ic
ap
p
licatio
n
s
o
f
I
o
T
an
d
AI
in
th
e
h
ea
lth
ca
r
e
s
ec
to
r
,
s
u
ch
as r
em
o
te
p
atien
t m
o
n
ito
r
in
g
,
s
m
ar
t m
ed
ical
d
ev
ices,
p
r
ed
ictiv
e
an
al
y
tics
,
p
er
s
o
n
ali
ze
d
tr
ea
tm
en
t
p
lan
s
,
an
d
h
ea
lt
h
r
eso
u
r
ce
m
an
a
g
em
en
t.
T
h
e
ar
ticle
co
n
clu
d
es
b
y
h
ig
h
lig
h
tin
g
th
e
tr
an
s
f
o
r
m
ativ
e
p
o
ten
tial
o
f
t
h
ese
tech
n
o
lo
g
i
es
an
d
u
n
d
er
lin
i
n
g
t
h
e
im
p
o
r
t
an
ce
o
f
ad
d
r
ess
in
g
cu
r
r
en
t c
h
allen
g
es to
en
s
u
r
e
ef
f
ec
tiv
e
an
d
s
ec
u
r
e
in
teg
r
atio
n
in
to
h
ea
lth
ca
r
e
s
y
s
tem
s
.
2.
M
E
T
H
O
D
T
h
is
r
esear
ch
ad
o
p
ts
a
s
y
s
te
m
atic
liter
atu
r
e
r
ev
iew
to
co
m
p
r
eh
en
s
iv
ely
in
v
esti
g
ate
th
e
ch
allen
g
es
an
d
s
o
lu
tio
n
s
ass
o
ciate
d
with
I
o
T
an
d
AI
a
p
p
licatio
n
s
in
h
e
alth
ca
r
e.
I
t
co
n
d
u
cts
an
in
-
d
e
p
th
ex
am
in
atio
n
o
f
th
e
f
u
n
d
am
e
n
tal
co
m
p
o
n
en
ts
o
f
I
o
T
s
y
s
tem
s
in
th
is
f
ield
,
in
clu
d
in
g
wea
r
ab
le
s
en
s
o
r
s
,
in
tellig
en
t
m
ed
ical
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
Th
e
fu
tu
r
e
o
f h
ea
lth
c
a
r
e:
ex
p
l
o
r
in
g
in
tern
et
o
f th
in
g
s
a
n
d
a
r
tifi
cia
l in
tellig
en
ce
…
(
K
a
ma
l E
lh
a
tta
b
)
3077
d
ev
ices,
an
d
co
m
m
u
n
icatio
n
t
ec
h
n
o
lo
g
ies.
T
h
e
s
tu
d
y
d
elv
e
s
in
to
p
r
ac
tical
im
p
lem
e
n
tatio
n
s
,
s
u
ch
as
r
em
o
t
e
p
atien
t
m
o
n
ito
r
in
g
,
p
r
ed
ictiv
e
an
aly
tics
,
an
d
th
e
d
ev
elo
p
m
e
n
t
o
f
s
m
ar
t
h
ea
lth
ca
r
e
s
y
s
tem
s
.
I
t
also
h
ig
h
lig
h
ts
d
ata
p
r
o
ce
s
s
in
g
m
eth
o
d
s
,
f
o
c
u
s
in
g
o
n
th
e
a
p
p
licatio
n
o
f
m
ac
h
in
e
lear
n
in
g
a
n
d
d
e
ep
lear
n
in
g
tech
n
i
q
u
es
f
o
r
ac
cu
r
ate
an
d
ef
f
icien
t
d
ec
is
io
n
-
m
ak
in
g
.
Ad
d
itio
n
ally
,
th
e
r
es
ea
r
ch
cr
itically
a
d
d
r
ess
es
k
ey
ch
allen
g
es,
s
u
ch
as
d
ata
s
ec
u
r
ity
,
in
ter
o
p
er
a
b
ilit
y
,
an
d
s
y
s
tem
in
teg
r
atio
n
,
o
f
f
er
in
g
in
n
o
v
ativ
e
s
tr
ateg
ies
t
o
o
v
er
c
o
m
e
th
ese
o
b
s
tacle
s
an
d
en
h
a
n
ce
h
ea
lth
c
ar
e
o
u
tco
m
es.
A
d
etailed
o
v
er
v
iew
o
f
th
e
f
in
d
i
n
g
s
an
d
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
es
is
p
r
esen
ted
in
Fig
u
r
e
2
.
Fig
u
r
e
2
.
Me
th
o
d
o
lo
g
y
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
I
o
T
s
y
s
t
em
in hea
lt
hca
re
3
.
1
.
1
.
I
o
T
co
m
po
nents
I
o
T
ap
p
licatio
n
s
in
h
ea
lth
ca
r
e
co
n
s
is
t
o
f
k
ey
co
m
p
o
n
en
ts
s
u
ch
as
wea
r
ab
le
s
en
s
o
r
s
,
i
n
tellig
en
t
m
ed
ical
d
ev
ices,
an
d
co
m
m
u
n
icatio
n
m
o
d
u
les.
T
h
ese
tech
n
o
lo
g
ies
wo
r
k
to
g
eth
e
r
to
g
a
th
er
an
d
tr
a
n
s
m
it
cr
itical
d
ata
o
n
p
atien
t
h
ea
l
th
an
d
tr
ea
tm
e
n
ts
,
s
u
p
p
o
r
tin
g
co
n
tin
u
o
u
s
m
o
n
ito
r
in
g
an
d
en
ab
lin
g
p
r
o
m
p
t
in
ter
v
en
tio
n
s
.
T
h
r
o
u
g
h
th
e
in
t
eg
r
atio
n
o
f
th
ese
ad
v
an
ce
d
to
o
ls
,
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
ca
n
elev
ate
ca
r
e
q
u
ality
,
ac
h
iev
e
b
etter
p
atien
t o
u
tco
m
e
s
,
an
d
m
ax
im
ize
th
e
ef
f
icien
c
y
o
f
r
eso
u
r
ce
u
s
e
[
3
1
]
,
[
3
2
]
.
3
.
1
.
2
.
I
o
T
co
mm
un
ica
t
io
n t
e
chno
lo
g
y
C
o
m
m
u
n
icatio
n
tech
n
o
lo
g
y
p
lay
s
a
cr
u
cial
r
o
le
i
n
lin
k
in
g
I
o
T
d
e
v
ices
with
in
h
ea
lth
ca
r
e
ap
p
licatio
n
s
.
I
t
f
ac
ilit
ates
s
m
o
o
th
d
ata
ex
c
h
an
g
e
am
o
n
g
d
ev
ices,
en
ab
lin
g
r
ea
l
-
tim
e
m
o
n
it
o
r
in
g
an
d
ef
f
icien
t
in
ter
ac
tio
n
b
etwe
en
p
atien
ts
an
d
h
ea
lth
ca
r
e
p
r
o
f
ess
io
n
als.
Var
io
u
s
co
m
m
u
n
icatio
n
s
tan
d
a
r
d
s
,
in
clu
d
in
g
s
h
o
r
t
-
r
an
g
e
o
p
tio
n
s
lik
e
B
lu
eto
o
th
an
d
lo
n
g
-
r
an
g
e
s
o
lu
tio
n
s
lik
e
ce
llu
lar
n
etwo
r
k
s
,
p
r
o
v
id
e
u
n
iq
u
e
b
e
n
ef
its
,
ca
ter
in
g
to
d
i
v
er
s
e
h
ea
lth
ca
r
e
n
ee
d
s
r
an
g
i
n
g
f
r
o
m
in
-
h
o
m
e
m
o
n
ito
r
in
g
to
r
e
m
o
te
p
atien
t c
ar
e.
3
.
1
.
3
.
Sp
ec
t
rum
T
h
e
s
p
ec
tr
u
m
u
s
ed
f
o
r
I
o
T
d
ev
ices
in
h
ea
lth
ca
r
e
in
clu
d
e
s
b
o
th
licen
s
ed
an
d
u
n
licen
s
ed
b
an
d
s
.
L
icen
s
ed
s
p
ec
tr
u
m
p
r
o
v
id
es
s
tr
icter
co
n
tr
o
l
o
v
e
r
n
etwo
r
k
t
r
af
f
ic,
e
n
s
u
r
in
g
h
ig
h
-
q
u
ality
s
er
v
ice
an
d
r
eliab
l
e
co
n
n
ec
tiv
ity
f
o
r
cr
itical
h
ea
l
th
ca
r
e
ap
p
licatio
n
s
.
On
t
h
e
o
th
er
h
an
d
,
u
n
licen
s
ed
s
p
ec
t
r
u
m
o
f
f
er
s
g
r
ea
ter
ac
ce
s
s
ib
ilit
y
an
d
lo
wer
co
s
ts
b
u
t
in
tr
o
d
u
ce
s
ch
allen
g
es
s
u
ch
as
i
n
ter
f
er
e
n
ce
an
d
t
h
e
n
ee
d
f
o
r
ef
f
ec
tiv
e
m
an
ag
em
en
t t
o
m
ain
tain
p
er
f
o
r
m
an
ce
an
d
r
eliab
ilit
y
in
h
ea
lth
ca
r
e
en
v
i
r
o
n
m
e
n
ts
.
3
.
1
.
4
.
Sta
nd
a
rds
I
n
h
ea
lth
ca
r
e
I
o
T
,
c
o
m
m
u
n
icatio
n
s
tan
d
ar
d
s
ar
e
class
if
ied
in
to
s
h
o
r
t
-
r
an
g
e
an
d
l
o
n
g
-
r
a
n
g
e
tech
n
o
lo
g
ies.
Sh
o
r
t
-
r
a
n
g
e
s
ta
n
d
ar
d
s
,
i
n
clu
d
in
g
B
lu
eto
o
th
a
n
d
Z
ig
B
ee
,
a
r
e
o
p
tim
al
f
o
r
ap
p
licatio
n
s
with
lo
w
p
o
wer
d
em
a
n
d
s
an
d
lim
ited
c
o
m
m
u
n
icatio
n
d
is
tan
ce
s
,
s
u
ch
as
wea
r
ab
le
d
ev
ices
an
d
s
m
a
r
t
m
ed
ical
s
en
s
o
r
s
.
I
n
co
n
tr
ast,
lo
n
g
-
r
a
n
g
e
s
tan
d
ar
d
s
lik
e
c
ellu
lar
n
etwo
r
k
s
an
d
L
PW
AN
tech
n
o
lo
g
ies
p
r
o
v
id
e
e
x
ten
s
iv
e
co
v
er
ag
e,
m
a
k
in
g
th
em
m
o
r
e
s
u
itab
le
f
o
r
r
em
o
te
p
atien
t
m
o
n
ito
r
in
g
an
d
lar
g
e
-
s
ca
le
h
ea
lth
ca
r
e
s
y
s
tem
s
,
en
s
u
r
in
g
u
n
in
ter
r
u
p
ted
c
o
n
n
ec
tiv
ity
ac
r
o
s
s
wid
er
ar
ea
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
3
0
7
5
-
3
0
8
3
3078
3
.
1
.
5
.
Appl
ica
t
io
n
s
ce
na
rio
I
o
T
c
o
m
m
u
n
icatio
n
tech
n
o
l
o
g
y
c
o
n
n
ec
ts
h
ea
lth
ca
r
e
d
ev
ic
es
u
s
in
g
v
ar
io
u
s
to
p
o
l
o
g
ies
to
en
s
u
r
e
s
ea
m
less
d
ata
tr
an
s
f
er
an
d
in
t
eg
r
atio
n
with
in
h
ea
lth
s
y
s
tem
s
.
C
o
m
m
o
n
to
p
o
lo
g
ies,
s
u
ch
as
s
tar
,
m
esh
,
an
d
tr
ee
,
o
f
f
er
d
if
f
er
e
n
t
ad
v
a
n
tag
e
s
d
ep
en
d
i
n
g
o
n
t
h
e
h
ea
lth
ca
r
e
ap
p
licatio
n
an
d
th
e
n
u
m
b
er
o
f
d
ev
ices
in
v
o
lv
e
d
.
Fo
r
ex
am
p
le,
a
s
tar
to
p
o
lo
g
y
is
id
ea
l
f
o
r
s
im
p
ler
,
ce
n
tr
alize
d
s
y
s
tem
s
,
wh
ile
m
esh
to
p
o
lo
g
y
p
r
o
v
id
es
g
r
ea
ter
r
eliab
ilit
y
an
d
s
ca
lab
ilit
y
f
o
r
co
m
p
lex
h
ea
lth
ca
r
e
en
v
ir
o
n
m
en
ts
,
en
s
u
r
in
g
co
n
tin
u
o
u
s
c
o
m
m
u
n
icatio
n
ev
en
wh
en
s
o
m
e
d
e
v
ices f
ail.
3
.
1
.
6
.
I
nte
rnet
T
h
e
u
s
e
o
f
th
e
in
ter
n
et
in
h
ea
lth
ca
r
e
allo
ws
f
o
r
s
ec
u
r
e
d
ata
s
to
r
ag
e,
en
s
u
r
in
g
ef
f
icien
t
an
aly
s
is
an
d
ea
s
y
ac
ce
s
s
to
in
f
o
r
m
atio
n
.
T
h
r
o
u
g
h
clo
u
d
s
er
v
ices,
h
ea
lth
ca
r
e
s
y
s
tem
s
ca
n
co
n
d
u
ct
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
to
d
etec
t
h
ea
lth
is
s
u
es
p
r
o
m
p
tly
.
T
h
is
ca
p
ab
ilit
y
en
h
a
n
ce
s
d
ec
is
io
n
-
m
ak
in
g
an
d
s
tr
ea
m
lin
es
m
an
ag
em
en
t
,
u
ltima
tely
lead
in
g
to
b
etter
p
at
ien
t o
u
tco
m
es a
n
d
o
p
tim
al
d
at
a
u
tili
za
tio
n
.
3
.
1
.
7
.
Da
t
a
s
t
o
ra
g
e
a
nd
pro
ce
s
s
ing
C
lo
u
d
p
latf
o
r
m
s
en
a
b
le
th
e
m
ass
iv
e
p
r
o
ce
s
s
in
g
o
f
d
ata
w
h
ile
en
s
u
r
in
g
s
ec
u
r
ity
,
ac
ce
s
s
ib
ilit
y
,
an
d
r
ea
l
-
tim
e
an
aly
tics
f
o
r
h
ea
lth
c
ar
e
s
y
s
tem
s
u
tili
zin
g
clo
u
d
tech
n
o
lo
g
y
.
T
h
e
c
o
llected
d
ata
is
s
to
r
ed
in
d
atab
ases
an
d
s
u
b
s
eq
u
e
n
tly
p
r
o
ce
s
s
ed
b
y
ad
v
an
ce
d
alg
o
r
ith
m
s
.
T
h
is
p
r
o
ce
s
s
h
elp
s
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
ex
tr
ac
t
v
alu
ab
le
in
s
ig
h
ts
,
allo
win
g
th
em
to
m
a
k
e
in
f
o
r
m
ed
a
n
d
ef
f
ec
tiv
e
d
ec
i
s
io
n
s
.
3
.
2
.
I
o
T
a
pp
lica
t
io
ns
in hea
lt
hca
re
3
.
2
.
1
.
Rem
o
t
e
pa
t
ient
m
o
nito
ring
I
o
T
d
ev
ices e
n
ab
le
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
o
f
v
ital sig
n
s
s
u
ch
as h
ea
r
t r
ate,
b
lo
o
d
p
r
ess
u
r
e,
an
d
g
lu
co
s
e
lev
els
th
r
o
u
g
h
th
e
u
s
e
o
f
r
ea
l
-
tim
e
n
o
tific
atio
n
s
.
T
h
ese
d
ev
ices
m
ak
e
it
ea
s
ier
to
d
etec
t
h
ea
lth
is
s
u
es
at
an
ea
r
ly
s
tag
e.
I
m
m
e
d
iate
ac
ce
s
s
to
d
ata
allo
ws
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
to
tak
e
s
wif
t
ac
tio
n
,
im
p
r
o
v
in
g
t
h
e
q
u
ality
o
f
ca
r
e
a
n
d
p
atien
t
h
ea
lth
o
u
tco
m
es
[
3
3
]
–
[
3
7
]
.
3
.
2
.
2
.
Sm
a
rt
m
edica
l dev
ices
Sm
a
r
t
m
ed
ic
al
d
ev
ic
e
s
,
s
u
ch
as
in
s
u
li
n
p
u
m
p
s
an
d
p
a
ce
m
a
k
er
s
,
u
ti
l
ize
in
te
r
n
e
t
o
f
th
in
g
s
to
m
an
ag
e
tr
e
atm
en
t
s
in
r
ea
l
-
t
im
e.
T
h
e
s
e
d
e
v
i
ce
s
ad
ju
s
t
an
d
ad
m
in
i
s
ter
tr
ea
tm
e
n
t
s
b
a
s
ed
o
n
co
n
ti
n
u
o
u
s
m
o
n
ito
r
in
g
o
f
p
a
ti
en
t
d
a
ta
.
B
y
en
s
u
r
in
g
tim
ely
i
n
t
er
v
en
ti
o
n
s
,
th
ey
en
h
an
ce
t
r
ea
tm
en
t
a
cc
u
r
ac
y
an
d
p
a
ti
en
t
o
u
t
co
m
es
[
3
8
]
–
[
4
4
]
.
3
.
2
.
3
.
P
re
dict
iv
e
a
na
ly
t
ics f
o
r
dis
ea
s
e
m
a
na
g
em
ent
T
h
e
u
s
e
o
f
AI
in
p
r
ed
ictiv
e
a
n
aly
tics
is
cr
u
cial
f
o
r
m
an
a
g
i
n
g
c
h
r
o
n
ic
d
is
ea
s
es
an
d
d
iag
n
o
s
tics
.
B
y
an
aly
zin
g
p
atie
n
t
d
ata,
p
o
ten
tial
h
ea
lth
r
is
k
s
ca
n
b
e
d
etec
ted
ea
r
ly
,
en
ab
li
n
g
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
to
in
ter
v
e
n
e
p
r
o
ac
tiv
ely
.
T
h
is
ap
p
r
o
ac
h
n
o
t
o
n
ly
im
p
r
o
v
es
p
atien
t
o
u
tc
o
m
es
b
u
t
also
c
o
n
tr
ib
u
tes
to
m
o
r
e
ef
f
ec
tiv
e
an
d
ef
f
icien
t h
ea
lth
ca
r
e
m
an
ag
em
e
n
t.
3
.
2
.
4
.
P
er
s
o
na
lized
t
re
a
t
m
ent
pla
ns
AI
alg
o
r
ith
m
s
p
r
o
ce
s
s
p
atien
t
d
ata
to
d
ev
elo
p
p
er
s
o
n
a
lized
tr
ea
tm
en
t
s
tr
ateg
ies,
o
p
tim
izin
g
tr
ea
tm
en
t
ef
f
ec
ti
v
en
ess
b
y
a
d
d
r
ess
in
g
in
d
iv
id
u
al
h
ea
lth
r
eq
u
ir
em
en
ts
.
T
h
ese
c
u
s
to
m
ized
p
lan
s
n
o
t
o
n
ly
en
h
an
ce
th
er
ap
e
u
tic
o
u
tco
m
e
s
b
u
t
also
m
in
im
ize
p
o
ten
ti
al
s
id
e
ef
f
ec
ts
.
As
a
r
esu
lt,
th
ey
co
n
t
r
ib
u
te
t
o
im
p
r
o
v
e
d
o
v
e
r
all
p
atien
t c
ar
e
an
d
a
m
o
r
e
ef
f
icien
t
h
ea
lth
ca
r
e
s
y
s
tem
.
3
.
2
.
5
.
H
ea
lt
h
re
s
o
urce
ma
na
g
em
ent
I
o
T
s
y
s
tem
s
o
p
tim
ize
th
e
m
an
ag
em
en
t
o
f
h
ea
lt
h
ca
r
e
r
es
o
u
r
ce
s
,
s
u
ch
as
h
o
s
p
ital
eq
u
i
p
m
en
t
an
d
m
ed
icatio
n
in
v
e
n
to
r
ies.
B
y
p
r
o
v
id
in
g
r
ea
l
-
tim
e
tr
ac
k
i
n
g
,
t
h
ese
s
y
s
tem
s
im
p
r
o
v
e
o
p
er
ati
o
n
al
ef
f
icien
cy
.
T
h
is
lead
s
to
r
ed
u
ce
d
waste
an
d
b
et
ter
allo
ca
tio
n
o
f
r
eso
u
r
ce
s
in
h
ea
lth
ca
r
e
f
ac
ilit
ies.
3
.
3
.
Da
t
a
a
na
ly
s
is
a
nd
m
a
chine le
a
rning
3
.
3
.
1
.
M
a
chine le
a
rning
t
ec
h
niq
ue
s
T
h
r
o
u
g
h
t
h
e
u
s
e
o
f
m
ac
h
in
e
lear
n
in
g
alg
o
r
it
h
m
s
,
wh
ich
p
r
o
ce
s
s
lar
g
e
am
o
u
n
ts
o
f
d
a
ta
in
th
e
h
ea
lth
ca
r
e
d
o
m
ain
,
it
b
ec
o
m
e
s
p
o
s
s
ib
le
to
d
etec
t
tr
en
d
s
an
d
p
atter
n
s
to
en
h
an
ce
d
iag
n
o
s
tic
ac
cu
r
ac
y
.
T
h
ese
alg
o
r
ith
m
s
an
al
y
ze
d
i
v
er
s
e
d
at
asets
,
in
clu
d
in
g
elec
tr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
,
m
ed
ical
im
ag
es,
a
n
d
r
ea
l
-
tim
e
s
en
s
o
r
d
ata,
to
id
e
n
tify
co
r
r
elatio
n
s
t
h
at
m
ig
h
t
n
o
t
b
e
v
is
ib
le
to
cli
n
ician
s
.
T
h
e
u
tili
za
tio
n
o
f
th
is
h
ea
lth
d
ata
e
n
ab
les
th
e
p
r
o
v
is
io
n
o
f
p
er
s
o
n
alize
d
ca
r
e
tailo
r
ed
to
t
h
e
s
p
ec
if
ic
n
e
ed
s
o
f
p
atien
ts
[
4
5
]
–
[
4
8
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
Th
e
fu
tu
r
e
o
f h
ea
lth
c
a
r
e:
ex
p
l
o
r
in
g
in
tern
et
o
f th
in
g
s
a
n
d
a
r
tifi
cia
l in
tellig
en
ce
…
(
K
a
ma
l E
lh
a
tta
b
)
3079
3
.
3
.
2
.
Dee
p lea
rning
a
pp
ro
a
ches
Dee
p
lear
n
in
g
m
eth
o
d
s
,
in
cl
u
d
in
g
co
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
s
,
ex
ce
l
at
an
al
y
zin
g
co
m
p
le
x
d
atasets
s
u
ch
as m
ed
ical
im
ag
es.
T
h
ese
tech
n
iq
u
es e
n
h
an
ce
d
iag
n
o
s
tic
ac
cu
r
ac
y
b
y
id
en
tif
y
in
g
s
u
b
tle
p
atter
n
s
th
at
m
ay
b
e
o
v
er
l
o
o
k
e
d
b
y
t
r
ad
itio
n
al
m
et
h
o
d
s
.
As
a
r
es
u
lt,
th
ey
co
n
t
r
ib
u
te
t
o
m
o
r
e
p
r
ec
is
e
an
d
r
eliab
le
m
ed
ical
d
iag
n
o
s
es
[
1
9
]
.
3
.
3
.
3
.
P
re
dict
iv
e
a
na
ly
s
is
B
y
u
tili
zin
g
b
o
th
h
is
to
r
ical
an
d
r
ea
l
-
tim
e
d
ata,
p
r
ed
ictiv
e
an
aly
tics
ca
n
f
o
r
ec
ast
h
ea
lth
o
u
t
co
m
es
f
o
r
p
atien
ts
.
T
h
is
ap
p
r
o
ac
h
h
elp
s
id
en
tify
p
o
ten
tial
r
is
k
s
ea
r
ly
,
allo
win
g
f
o
r
tim
ely
in
ter
v
e
n
tio
n
s
.
As
a
r
esu
lt,
it
en
h
an
ce
s
tr
ea
tm
e
n
t
s
tr
ateg
ies
an
d
e
n
ab
les
m
ed
ical
p
r
o
f
ess
io
n
als
to
m
a
k
e
in
f
o
r
m
e
d
,
p
r
o
ac
t
iv
e
d
ec
is
io
n
s
[
4
9
]
–
[
5
4
]
.
3
.
4
.
F
uture
cha
lleng
es a
nd
o
pp
o
rt
un
it
ies
3
.
4
.
1
.
Securit
y
a
nd
priv
a
cy
E
n
s
u
r
in
g
d
ata
s
ec
u
r
ity
an
d
p
r
iv
ac
y
is
ess
en
tial
in
h
ea
lth
ca
r
e.
R
o
b
u
s
t
s
ec
u
r
ity
m
ea
s
u
r
es
an
d
en
cr
y
p
tio
n
tech
n
iq
u
es
ar
e
k
ey
to
s
af
e
g
u
ar
d
in
g
s
en
s
itiv
e
p
ati
en
t
d
ata.
T
h
ese
s
af
e
g
u
ar
d
s
h
el
p
m
itig
ate
th
e
r
is
k
o
f
d
ata
b
r
ea
ch
es a
n
d
en
s
u
r
e
c
o
m
p
lian
ce
with
p
r
iv
ac
y
r
e
g
u
latio
n
s
.
3
.
4
.
2
.
I
nte
ro
pera
bil
it
y
Gu
ar
an
teein
g
in
ter
o
p
er
ab
ilit
y
b
etwe
en
h
ea
lth
ca
r
e
s
y
s
tem
s
an
d
I
o
T
s
y
s
tem
s
r
em
ain
s
a
m
ajo
r
ch
allen
g
e,
em
p
h
asizin
g
th
e
n
ee
d
to
s
tan
d
ar
d
ize
co
m
m
u
n
icatio
n
p
r
o
to
co
ls
a
n
d
d
ata
f
o
r
m
ats.
T
h
is
s
tan
d
ar
d
izatio
n
is
ess
en
tial
f
o
r
e
n
s
u
r
in
g
s
m
o
o
th
in
f
o
r
m
ati
o
n
e
x
ch
an
g
e,
w
h
ich
f
o
s
ter
s
c
o
llab
o
r
atio
n
ac
r
o
s
s
d
if
f
er
en
t
h
ea
lth
ca
r
e
s
y
s
tem
s
.
B
y
ac
h
iev
i
n
g
t
h
is
,
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
ca
n
e
n
h
an
ce
th
e
in
teg
r
atio
n
o
f
I
o
T
tech
n
o
lo
g
ies,
im
p
r
o
v
i
n
g
o
v
er
a
ll sy
s
tem
ef
f
icien
cy
an
d
p
atien
t c
ar
e.
3
.
4
.
3
.
I
nte
g
ra
t
io
n wit
h
ex
is
t
i
ng
s
y
s
t
em
s
I
n
teg
r
atin
g
n
ew
I
o
T
an
d
AI
t
ec
h
n
o
lo
g
ies
in
to
ex
is
tin
g
h
ea
lth
ca
r
e
s
y
s
tem
s
p
r
esen
ts
b
o
th
tech
n
ical
an
d
o
r
g
an
izatio
n
al
o
b
s
tacle
s
.
A
s
tep
-
by
-
s
tep
ap
p
r
o
ac
h
is
cr
u
cial
to
m
an
a
g
in
g
t
h
ese
tr
an
s
itio
n
s
ef
f
icien
tly
an
d
ef
f
ec
tiv
ely
.
T
h
o
u
g
h
t
f
u
l
p
lan
n
i
n
g
en
s
u
r
es
a
s
ea
m
less
in
teg
r
atio
n
p
r
o
ce
s
s
,
m
in
im
izin
g
d
is
r
u
p
tio
n
s
to
o
n
g
o
in
g
o
p
er
atio
n
s
an
d
en
a
b
lin
g
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
to
a
d
ap
t to
tech
n
o
lo
g
ical
ad
v
an
ce
m
e
n
ts
s
m
o
o
th
ly
.
3
.
5
.
F
ind
ing
s
a
nd
a
na
ly
s
is
3
.
5
.
1
.
I
m
pro
v
ed
pa
t
ient
m
o
n
it
o
ring
T
h
e
in
co
r
p
o
r
atio
n
o
f
I
o
T
an
d
AI
i
n
h
ea
lth
ca
r
e
h
as
led
to
s
ig
n
if
ican
t
im
p
r
o
v
em
en
ts
i
n
p
atien
t
m
o
n
ito
r
in
g
.
C
o
n
tin
u
o
u
s
r
ea
l
-
tim
e
d
ata
f
r
o
m
wea
r
ab
le
d
e
v
ices,
s
m
ar
t
im
p
lan
ts
,
an
d
o
th
er
I
o
T
-
in
teg
r
ated
s
y
s
tem
s
p
r
o
v
id
es
v
alu
ab
le
in
s
ig
h
ts
in
to
p
atien
ts
'
v
ital
s
ig
n
s
an
d
o
v
er
all
h
ea
lth
s
tatu
s
.
T
h
is
en
ab
les
h
ea
lth
ca
r
e
p
r
o
v
id
e
r
s
to
o
f
f
er
p
r
o
m
p
t
in
t
er
v
en
tio
n
s
,
tailo
r
tr
ea
tm
en
t
p
lan
s
,
an
d
en
h
an
ce
th
e
m
a
n
a
g
em
en
t
o
f
ch
r
o
n
ic
d
is
ea
s
es
lik
e
d
iab
etes
an
d
h
y
p
er
ten
s
io
n
.
Fu
r
th
er
m
o
r
e,
p
r
o
ac
tiv
e
m
o
n
ito
r
in
g
o
f
ac
u
te
co
n
d
itio
n
s
h
as
co
n
tr
ib
u
ted
to
b
etter
clin
ical
o
u
tco
m
es a
n
d
a
r
ed
u
ctio
n
in
h
o
s
p
ital r
ea
d
m
is
s
io
n
s
.
3
.
5
.
2
.
E
nh
a
nced
dia
g
no
s
t
ic
a
cc
ura
cy
T
h
e
ap
p
licatio
n
o
f
AI
to
m
e
d
ical
d
ata
an
aly
s
is
,
in
clu
d
in
g
im
ag
in
g
,
s
en
s
o
r
r
ea
d
in
g
s
,
an
d
elec
tr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
,
h
as
led
to
s
ig
n
if
ican
t
im
p
r
o
v
em
e
n
ts
in
d
iag
n
o
s
tic
ac
cu
r
ac
y
.
Ad
v
an
ce
d
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
ex
ce
l
at
d
etec
tin
g
s
u
b
tle
p
atter
n
s
,
an
o
m
alies,
a
n
d
tr
e
n
d
s
th
at
m
ay
escap
e
tr
ad
itio
n
al
d
iag
n
o
s
tic
m
eth
o
d
s
.
T
h
ese
to
o
ls
e
n
ab
le
ea
r
lier
an
d
m
o
r
e
p
r
ec
is
e
d
iag
n
o
s
es,
wh
ich
a
r
e
cr
itical
f
o
r
co
n
d
itio
n
s
s
u
c
h
as
ca
n
ce
r
,
ca
r
d
i
o
v
ascu
lar
d
is
ea
s
es,
an
d
n
eu
r
o
lo
g
ical
d
is
o
r
d
er
s
.
C
o
n
s
eq
u
en
tly
,
th
is
ad
v
a
n
ce
m
e
n
t e
n
h
an
ce
s
p
atien
t
o
u
tco
m
es b
y
f
ac
ilit
atin
g
tim
ely
an
d
tar
g
eted
tr
ea
tm
e
n
ts
.
3
.
5
.
3
.
O
pera
t
io
na
l
ef
f
iciency
I
o
T
a
n
d
AI
tech
n
o
lo
g
ies
h
a
v
e
tr
an
s
f
o
r
m
ed
h
ea
lth
ca
r
e
o
p
er
atio
n
s
b
y
s
tr
ea
m
lin
in
g
p
r
o
ce
s
s
es
an
d
o
p
tim
izin
g
r
eso
u
r
ce
m
a
n
ag
em
en
t.
Au
to
m
ated
s
y
s
tem
s
f
o
r
in
v
en
to
r
y
co
n
tr
o
l,
m
ed
ical
eq
u
i
p
m
en
t tr
ac
k
in
g
,
a
n
d
s
u
p
p
ly
ch
ain
lo
g
is
tics
h
av
e
m
in
im
ized
waste
an
d
en
s
u
r
e
d
th
e
tim
ely
av
ailab
ilit
y
o
f
cr
itical
r
eso
u
r
ce
s
.
Ad
d
itio
n
ally
,
AI
-
p
o
wer
e
d
to
o
ls
f
o
r
s
ch
ed
u
lin
g
an
d
wo
r
k
f
lo
w
o
p
tim
izatio
n
h
a
v
e
en
h
an
ce
d
s
taf
f
p
r
o
d
u
ctiv
ity
,
r
ed
u
ce
d
o
p
er
atio
n
al
co
s
ts
,
an
d
im
p
r
o
v
e
d
th
e
o
v
er
all
p
atien
t e
x
p
er
ien
ce
.
3
.
5
.
4
.
Address
i
ng
cha
lleng
es
W
h
ile
I
o
T
an
d
AI
o
f
f
er
s
ig
n
if
i
ca
n
t a
d
v
an
tag
es in
h
ea
lth
ca
r
e
,
s
ev
er
al
ch
allen
g
es m
u
s
t b
e
o
v
er
co
m
e
to
u
n
lo
ck
th
eir
f
u
ll
p
o
ten
tial.
Data
s
ec
u
r
ity
is
a
m
ajo
r
co
n
ce
r
n
,
r
eq
u
i
r
in
g
th
e
ad
o
p
tio
n
o
f
s
tr
o
n
g
en
cr
y
p
tio
n
tech
n
iq
u
es
an
d
s
ec
u
r
e
ac
ce
s
s
co
n
tr
o
ls
.
I
n
ter
o
p
er
ab
ilit
y
ch
a
llen
g
es,
ar
is
in
g
f
r
o
m
th
e
v
a
r
iety
o
f
d
ev
ices
an
d
s
y
s
tem
s
,
em
p
h
asize
th
e
im
p
o
r
tan
ce
o
f
s
tan
d
ar
d
ized
c
o
m
m
u
n
icatio
n
p
r
o
to
c
o
ls
.
Ad
d
itio
n
al
ly
,
in
teg
r
atin
g
t
h
ese
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
3
0
7
5
-
3
0
8
3
3080
tech
n
o
lo
g
ies
with
ex
is
tin
g
h
e
alth
ca
r
e
in
f
r
astru
ctu
r
es
d
e
m
a
n
d
s
ca
r
ef
u
l
p
la
n
n
in
g
a
n
d
in
v
e
s
tm
en
t.
Ad
d
r
ess
in
g
th
ese
ch
allen
g
es
will
allo
w
f
o
r
th
e
b
r
o
ad
e
r
a
d
o
p
tio
n
o
f
I
o
T
an
d
AI
,
e
n
s
u
r
in
g
r
eliab
le,
s
af
e,
a
n
d
ef
f
icien
t
h
ea
lth
ca
r
e
d
eliv
er
y
.
4.
CO
NCLU
SI
O
N
T
h
e
in
teg
r
atio
n
o
f
AI
a
n
d
I
o
T
in
h
ea
lth
ca
r
e
p
r
esen
ts
s
ig
n
if
ican
t o
p
p
o
r
tu
n
ities
to
im
p
r
o
v
e
p
atien
t c
ar
e
an
d
o
p
tim
ize
th
e
f
u
n
ctio
n
in
g
o
f
h
ea
lth
ca
r
e
s
y
s
tem
s
.
Ho
wev
er
,
to
f
u
lly
ca
p
italize
o
n
th
ese
tech
n
o
lo
g
ies,
it
is
cr
u
cial
to
o
v
er
c
o
m
e
ch
allen
g
es
r
elate
d
to
d
ata
s
ec
u
r
ity
,
s
y
s
tem
in
ter
o
p
er
ab
ilit
y
,
a
n
d
p
latf
o
r
m
in
teg
r
atio
n
.
Fu
tu
r
e
r
esear
ch
s
h
o
u
l
d
aim
to
d
ev
elo
p
in
n
o
v
ativ
e
s
o
lu
tio
n
s
to
a
d
d
r
ess
th
ese
is
s
u
es,
f
ac
ilit
atin
g
th
e
wid
esp
r
ea
d
ad
o
p
tio
n
an
d
e
f
f
e
ctiv
e
im
p
lem
en
tatio
n
o
f
I
o
T
an
d
AI
in
h
ea
lth
ca
r
e.
T
h
is
p
r
o
g
r
ess
will
lead
to
b
etter
p
atien
t o
u
tc
o
m
es,
m
o
r
e
ef
f
icien
t h
ea
lth
ca
r
e
p
r
o
ce
s
s
es,
an
d
en
h
an
ce
d
h
ea
lth
ca
r
e
d
eliv
er
y
wo
r
ld
wid
e.
ACK
NO
WL
E
DG
M
E
N
T
S
W
e
wo
u
ld
lik
e
to
ex
p
r
ess
o
u
r
s
in
ce
r
e
g
r
atitu
d
e
to
all
th
o
s
e
wh
o
co
n
tr
ib
u
te
d
to
th
e
co
m
p
l
etio
n
o
f
th
is
wo
r
k
.
W
e
esp
ec
ially
th
an
k
o
u
r
co
lleag
u
es
an
d
co
llab
o
r
ato
r
s
with
in
th
e
E
L
I
T
E
S,
T
I
AD,
an
d
I
SIM
A
lab
o
r
ato
r
ies
f
o
r
th
eir
s
u
p
p
o
r
t
an
d
f
r
u
itfu
l
d
is
cu
s
s
io
n
s
.
T
h
eir
ex
p
er
tis
e
was
in
v
alu
ab
le
in
t
h
e
ex
ec
u
tio
n
o
f
th
is
s
tu
d
y
.
W
e
also
ex
ten
d
o
u
r
s
in
ce
r
e
ap
p
r
ec
iatio
n
to
o
u
r
r
esp
e
ctiv
e
in
s
titu
tio
n
s
,
C
h
o
u
aib
D
o
u
k
k
ali
Un
iv
e
r
s
ity
,
Su
ltan
Mo
u
lay
Sli
m
an
e
Un
i
v
er
s
ity
,
an
d
I
b
n
o
u
Z
o
h
r
U
n
iv
e
r
s
ity
,
f
o
r
th
eir
co
n
tin
u
ed
s
u
p
p
o
r
t
in
o
u
r
r
esear
c
h
en
d
ea
v
o
r
s
.
Fin
ally
,
we
wo
u
ld
lik
e
to
th
an
k
th
e
a
n
o
n
y
m
o
u
s
r
ev
iewe
r
s
f
o
r
th
eir
v
alu
ab
le
co
m
m
en
ts
an
d
s
u
g
g
esti
o
n
s
,
wh
ich
g
r
ea
tly
h
el
p
ed
im
p
r
o
v
e
th
e
q
u
ality
o
f
th
i
s
p
ap
er
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
T
h
is
wo
r
k
was
s
u
p
p
o
r
ted
b
y
th
e
E
LITE
S
lab
o
r
at
o
r
y
,
F
ac
u
lty
o
f
Scien
ce
s
,
C
h
o
u
aib
Do
u
k
k
ali
Un
iv
er
s
ity
,
E
l
J
ad
id
a,
Mo
r
o
cc
o
.
T
h
e
au
th
o
r
s
also
ac
k
n
o
wled
g
e
th
e
f
in
a
n
cial
s
u
p
p
o
r
t
f
r
o
m
th
e
T
I
AD
L
ab
o
r
ato
r
y
,
Facu
lty
o
f
Scien
c
e
an
d
T
ec
h
n
o
lo
g
y
,
Su
ltan
M
o
u
lay
Sli
m
an
e
Un
iv
er
s
ity
,
B
en
i
-
Me
llal,
Mo
r
o
cc
o
,
an
d
th
e
I
S
I
MA
lab
o
r
at
o
r
y
,
Po
ly
d
is
cip
lin
ar
y
Facu
lty
,
I
b
n
o
u
Z
o
h
r
U
n
iv
er
s
ity
,
T
a
r
o
u
d
an
t,
Mo
r
o
cc
o
.
No
o
th
er
f
in
an
cial
s
u
p
p
o
r
t w
as r
ec
eiv
ed
f
o
r
th
is
r
esear
ch
.
AUTHO
R
CO
NT
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B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
e
s
u
m
m
ar
y
o
f
ea
c
h
au
th
o
r
'
s
s
p
ec
if
ic
co
n
tr
ib
u
tio
n
s
to
th
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tu
d
y
,
r
ef
lectin
g
th
eir
r
o
les
in
th
e
d
if
f
er
en
t stag
es o
f
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o
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is
p
r
esen
ted
in
th
e
f
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llo
win
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tab
le.
Na
m
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f
Aut
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So
Va
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Vi
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Kam
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Dr
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tain
ed
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t f
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m
all
in
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id
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
Th
e
fu
tu
r
e
o
f h
ea
lth
c
a
r
e:
ex
p
l
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r
in
g
in
tern
et
o
f th
in
g
s
a
n
d
a
r
tifi
cia
l in
tellig
en
ce
…
(
K
a
ma
l E
lh
a
tta
b
)
3081
DATA AV
AI
L
AB
I
L
I
T
Y
Data
av
ailab
ilit
y
is
n
o
t
ap
p
li
ca
b
le
to
th
is
p
ap
er
as
n
o
n
e
w
d
ata
wer
e
cr
ea
ted
o
r
an
aly
ze
d
in
th
is
s
tu
d
y
.
RE
F
E
R
E
NC
E
S
[
1
]
T.
E.
A
l
i
,
F
.
I
.
A
l
i
,
P
.
D
a
k
i
ć
,
a
n
d
A
.
D
.
Z
o
l
t
a
n
,
“
Tr
e
n
d
s
,
p
r
o
s
p
e
c
t
s
,
c
h
a
l
l
e
n
g
e
s,
a
n
d
s
e
c
u
r
i
t
y
i
n
t
h
e
h
e
a
l
t
h
c
a
r
e
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s,
”
C
o
m
p
u
t
i
n
g
,
v
o
l
.
1
0
7
,
n
o
.
1
,
p
.
2
8
,
J
a
n
.
2
0
2
5
,
d
o
i
:
1
0
.
1
0
0
7
/
s
0
0
6
0
7
-
0
2
4
-
0
1
3
5
2
-
4.
[
2
]
N
.
G
.
R
e
z
k
,
S
.
A
l
sh
a
t
h
r
i
,
A
.
S
a
y
e
d
,
E
.
E.
-
D
.
H
e
m
d
a
n
,
a
n
d
H
.
El
-
B
e
h
e
r
y
,
“
S
e
c
u
r
e
h
y
b
r
i
d
d
e
e
p
l
e
a
r
n
i
n
g
f
o
r
M
R
I
-
b
a
se
d
b
r
a
i
n
t
u
m
o
r
d
e
t
e
c
t
i
o
n
i
n
smar
t
me
d
i
c
a
l
I
o
T
s
y
st
e
m
s,”
D
i
a
g
n
o
s
t
i
c
s
,
v
o
l
.
1
5
,
n
o
.
5
,
p
.
6
3
9
,
M
a
r
.
2
0
2
5
,
d
o
i
:
1
0
.
3
3
9
0
/
d
i
a
g
n
o
s
t
i
c
s1
5
0
5
0
6
3
9
.
[
3
]
W
.
L
i
e
t
a
l
.
,
“
A
c
o
m
p
r
e
h
e
n
si
v
e
s
u
r
v
e
y
o
n
ma
c
h
i
n
e
l
e
a
r
n
i
n
g
-
b
a
s
e
d
b
i
g
d
a
t
a
a
n
a
l
y
t
i
c
s
f
o
r
I
o
T
-
e
n
a
b
l
e
d
smar
t
h
e
a
l
t
h
c
a
r
e
s
y
st
e
m,”
Mo
b
i
l
e
N
e
t
w
o
r
k
s
a
n
d
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
2
6
,
n
o
.
1
,
p
p
.
2
3
4
–
2
5
2
,
F
e
b
.
2
0
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1
,
d
o
i
:
1
0
.
1
0
0
7
/
s
1
1
0
3
6
-
020
-
0
1
7
0
0
-
6.
[
4
]
D
.
M
.
M
a
t
h
k
o
r
e
t
a
l
.
,
“
M
u
l
t
i
r
o
l
e
o
f
t
h
e
i
n
t
e
r
n
e
t
o
f
me
d
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c
a
l
t
h
i
n
g
s
(
I
o
M
T)
i
n
b
i
o
m
e
d
i
c
a
l
sy
s
t
e
ms
f
o
r
ma
n
a
g
i
n
g
smar
t
h
e
a
l
t
h
c
a
r
e
sy
st
e
ms:
a
n
o
v
e
r
v
i
e
w
o
f
c
u
r
r
e
n
t
a
n
d
f
u
t
u
r
e
i
n
n
o
v
a
t
i
v
e
t
r
e
n
d
s
,
”
J
o
u
rn
a
l
o
f
I
n
f
e
c
t
i
o
n
a
n
d
P
u
b
l
i
c
H
e
a
l
t
h
,
v
o
l
.
1
7
,
n
o
.
4
,
p
p
.
5
5
9
–
5
7
2
,
A
p
r
.
2
0
2
4
,
d
o
i
:
1
0
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1
0
1
6
/
j
.
j
i
p
h
.
2
0
2
4
.
0
1
.
0
1
3
.
[
5
]
A
.
I
q
b
a
l
,
A
.
N
a
u
ma
n
,
Y
.
A
.
Q
a
d
r
i
,
a
n
d
S
.
W
.
K
i
m,
“
O
p
t
i
m
i
z
i
n
g
sp
e
c
t
r
a
l
u
t
i
l
i
z
a
t
i
o
n
i
n
h
e
a
l
t
h
c
a
r
e
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s,”
S
e
n
s
o
rs
,
v
o
l
.
2
5
,
n
o
.
3
,
p
.
6
1
5
,
J
a
n
.
2
0
2
5
,
d
o
i
:
1
0
.
3
3
9
0
/
s2
5
0
3
0
6
1
5
.
[
6
]
A
.
S
.
M
.
M
o
h
s
i
n
,
S
.
H
.
C
h
o
u
d
h
u
r
y
,
a
n
d
M
.
A
.
M
u
y
e
e
d
,
“
A
u
t
o
m
a
t
i
c
p
r
i
o
r
i
t
y
a
n
a
l
y
s
i
s
o
f
e
merg
e
n
c
y
r
e
s
p
o
n
s
e
sy
s
t
e
m
s
u
s
i
n
g
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
(
I
o
T)
a
n
d
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
(
M
L)
,
”
T
r
a
n
sp
o
rt
a
t
i
o
n
En
g
i
n
e
e
ri
n
g
,
v
o
l
.
1
9
,
p
.
1
0
0
3
0
4
,
M
a
r
.
2
0
2
5
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
t
r
e
n
g
.
2
0
2
5
.
1
0
0
3
0
4
.
[
7
]
C
.
G
u
l
d
e
n
,
P
.
M
a
c
h
o
,
I
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M
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[
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7
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[
1
8
]
R
.
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[
1
9
]
C
.
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l.
e
lh
a
tt
a
b
@g
m
a
il
.
c
o
m
.
Dr
iss
Na
ji
re
c
e
iv
e
d
h
is
d
o
c
to
r
a
te
d
e
g
re
e
in
c
o
m
p
u
ter
sc
ien
c
e
fro
m
th
e
F
a
c
u
lt
y
o
f
S
c
ien
c
e
a
n
d
Tec
h
n
ics
,
S
u
lt
a
n
M
o
u
lay
S
li
m
a
n
e
Un
iv
e
rsit
y
,
Be
n
i
M
e
ll
a
l,
M
o
r
o
c
c
o
,
in
2
0
2
4
.
Cu
rre
n
tl
y
,
h
e
is
e
n
r
o
ll
e
d
i
n
t
h
e
TIAD
L
a
b
o
ra
to
r
y
a
t
th
e
sa
m
e
u
n
iv
e
rsity
,
w
h
e
re
h
is
re
se
a
rc
h
fo
c
u
se
s
o
n
AI
a
n
d
I
o
T.
His
wo
r
k
a
ims
to
a
d
v
a
n
c
e
t
h
e
in
teg
ra
ti
o
n
o
f
AI
a
n
d
I
o
T
tec
h
n
o
lo
g
ies
,
c
o
n
tri
b
u
ti
n
g
to
t
h
e
d
e
v
e
l
o
p
m
e
n
t
o
f
in
n
o
v
a
ti
v
e
so
l
u
ti
o
n
s
i
n
th
e
se
f
ield
s.
He
c
a
n
b
e
c
o
n
tac
ted
v
ia em
a
il
a
t
n
a
ji
.
d
risss
@g
m
a
il
.
c
o
m
.
Abd
e
lo
u
a
h
e
d
Ait
I
d
e
r
re
c
e
iv
e
d
a
P
h
.
D.
d
e
g
re
e
i
n
c
o
m
p
u
ter
sc
ien
c
e
fro
m
th
e
F
a
c
u
lt
y
o
f
S
c
ien
c
e
s
a
n
d
Tec
h
n
o
lo
g
ies
,
S
u
lt
a
n
M
o
u
lay
S
li
m
a
n
e
Un
iv
e
rsity
,
Be
n
i
-
m
e
ll
a
l
,
M
o
ro
c
c
o
,
in
2
0
1
8
.
P
ro
fe
ss
o
r
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
t
P
o
ly
d
isc
ip
l
in
a
ry
F
a
c
u
lt
y
o
f
Taro
u
d
a
n
t
,
Ib
n
o
u
Zo
h
r
U
n
iv
e
rsit
y
,
M
o
r
o
c
c
o
.
His
re
se
a
rc
h
sp
a
n
s
a
rti
ficia
l
i
n
telli
g
e
n
c
e
,
m
a
c
h
i
n
e
lea
rn
i
n
g
,
d
a
ta
sc
ien
c
e
a
n
d
c
o
m
p
u
ter
v
isio
n
,
with
a
fo
c
u
s o
n
d
e
e
p
lea
rn
in
g
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
a
.
a
it
id
e
r@u
iz.ac
.
m
a
.
K
a
r
im
Ab
o
u
e
l
m
e
h
d
i
re
c
e
iv
e
d
th
e
P
h
.
D.
d
e
g
re
e
i
n
c
o
m
p
u
ter
sc
ien
c
e
fro
m
F
a
c
u
lt
y
o
f
S
c
ien
c
e
,
Ch
o
u
a
i
b
Do
u
k
k
a
li
Un
i
v
e
rsity
,
E
l
Ja
d
id
a
,
M
o
ro
c
c
o
,
in
2
0
1
7
.
He
wo
rk
e
d
a
s
a
n
a
ss
istan
t
p
r
o
fe
ss
o
r
with
th
e
Ch
o
u
a
ï
b
Do
u
k
k
a
li
U
n
iv
e
rsit
y
.
He
is
c
u
rre
n
tl
y
a
n
a
ss
o
c
iate
p
ro
fe
ss
o
r
wit
h
t
h
e
Co
m
p
u
ter
S
c
ien
c
e
De
p
a
rtme
n
t,
S
c
ien
c
e
s
F
a
c
u
lt
y
,
Ch
o
u
a
ïb
Do
u
k
k
a
li
Un
iv
e
rsity
.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
n
e
two
rk
se
c
u
rit
y
,
b
ig
d
a
ta,
t
h
e
in
tern
e
t
o
f
th
i
n
g
s
,
a
rti
ficia
l
in
telli
g
e
n
c
e
,
a
n
d
m
a
c
h
in
e
lea
rn
in
g
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
k
a
rim.a
b
o
u
e
lme
h
d
i1
@
g
m
a
il
.
c
o
m
.
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