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s
a
g
e
,
s
ym
pt
o
m
s
,
t
u
m
or
s
t
a
g
e
,
a
nd
nu
m
be
r
of
t
um
or
s
obs
e
r
v
e
d.
P
r
e
di
c
t
i
ons
i
n
A
I
/
m
a
c
hi
ne
l
e
a
r
ni
n
g
(
ML
)
/
de
e
p
l
e
a
r
ni
ng
(
DL
)
a
r
e
not
hi
ng
but
a
l
g
or
i
t
h
m
s
/
m
ode
l
s
’
“
g
ue
s
s
e
s
,”
a
bout
t
he
t
a
r
g
e
t
v
a
l
ue
ba
s
e
d
on
g
i
v
e
n
a
t
t
r
i
but
e
s
/
f
e
a
t
ur
e
s
.
T
he
s
e
m
ode
r
n
c
o
m
pl
e
x
a
l
g
o
r
i
t
hm
s
a
r
e
na
t
ur
a
l
l
y
opa
que
,
non
-
i
nt
ui
t
i
v
e
a
nd
di
f
f
i
c
ul
t
t
o
unde
r
s
t
a
nd.
F
r
o
m
t
hi
s
opa
que
ne
s
s
,
one
m
i
g
ht
g
u
e
s
s
but
c
a
n ne
v
e
r
kno
w
w
ha
t
i
s
ha
ppe
ni
n
g
i
ns
i
de
t
he
n
e
t
w
or
k.
T
he
m
ode
l
s
a
r
e
t
r
a
i
ne
d a
nd t
e
s
t
e
d
w
i
t
h
hug
e
da
t
a
s
a
m
pl
e
s
,
ge
t
t
i
ng
a
g
ood
a
c
c
ur
a
c
y
w
i
t
h
a
c
on
v
i
n
c
i
ng
pos
i
t
i
v
e
pr
e
di
c
t
i
v
e
v
a
l
ue
.
C
a
l
c
ul
a
t
i
n
g
onl
y
a
c
c
ur
a
c
y
t
o e
xpl
a
i
n t
he
r
e
a
l
-
l
i
f
e
t
a
s
ks
i
s
not
s
uf
f
i
c
i
e
nt
.
M
e
di
c
a
l
pr
of
e
s
s
i
ona
l
s
s
uc
h
a
s
doc
t
or
s
/
c
l
i
ni
c
i
a
ns
/
m
e
di
c
i
na
l
e
xpe
r
t
s
a
r
e
not
r
e
a
d
y
t
o
a
c
c
e
pt
r
e
s
ul
t
s
g
e
ne
r
a
t
e
d b
y
A
I
a
l
g
or
i
t
h
m
s
w
i
t
h t
he
bi
gg
e
s
t
c
onc
e
r
n,
‘
P
r
e
di
c
t
i
ons
m
a
de
b
y
A
I
a
r
e
t
r
us
t
w
or
t
hy
?
’
H
o
w
t
o t
r
us
t
t
he
r
e
s
ul
t
s
g
e
ne
r
a
t
e
d
b
y
M
L
a
l
g
or
i
t
h
m
s
?
A
ppl
y
i
n
g
a
n
une
xpl
a
i
ne
d
ne
t
w
or
k
w
i
t
h
pa
t
i
e
nt
s
’
l
i
f
e
i
s
ne
a
r
t
o
i
m
pos
s
i
bl
e
.
I
n
or
de
r
t
o
t
r
us
t
A
I
g
e
ne
r
a
t
e
d
r
e
s
ul
t
s
,
a
doc
t
or
ne
e
ds
a
n
e
xpl
a
na
t
i
on
of
t
he
r
e
s
ul
t
.
T
he
y
w
a
nt
t
o
unde
r
s
t
a
nd
t
he
w
a
y
A
I
w
or
ks
t
o
he
l
p
t
he
m
i
m
pr
o
v
e
t
he
i
r
s
e
r
v
i
c
e
s
a
s
no
one
r
e
a
l
l
y
know
s
w
h
y
t
he
s
e
a
l
g
or
i
t
h
m
s
m
a
k
e
t
he
c
hoi
c
e
s
t
he
y
do?
T
hi
s
l
a
c
k
of
t
r
a
ns
pa
r
e
nc
y
i
s
t
he
bi
g
g
e
s
t
c
ha
l
l
e
nge
f
or
t
he
h
e
a
l
t
hc
a
r
e
s
e
c
t
or
i
n us
i
ng
A
I
pr
e
di
c
t
e
d r
e
s
ul
t
s
.
M
os
t
of
t
he
A
I
a
l
g
or
i
t
h
m
s
a
r
e
c
o
m
pl
e
x
i
n
na
t
ur
e
.
T
he
y
g
e
n
e
r
a
t
e
pr
e
di
c
t
i
ons
or
c
l
a
s
s
i
f
i
c
a
t
i
ons
ba
s
e
d
on
t
he
f
e
a
t
ur
e
s
pr
o
v
i
d
e
d.
O
ne
n
e
v
e
r
kno
w
s
w
h
a
t
i
s
h
a
ppe
ni
ng
i
ns
i
de
t
he
ne
t
w
o
r
k.
C
i
of
f
i
e
t
al
.
[
3]
,
t
r
us
t
i
ng
pr
e
di
c
t
i
ons
m
a
d
e
b
y
A
I
a
l
g
or
i
t
h
m
ba
s
e
d
on
c
onf
us
i
on
m
a
t
r
i
x
i
s
not
a
t
a
l
l
a
c
c
e
pt
a
bl
e
b
y
H
e
a
l
t
hc
a
r
e
,
F
i
na
nc
e
,
D
e
pa
r
t
m
e
nt
of
D
e
f
e
ns
e
(
D
oD
)
l
i
ke
a
ut
o
m
a
t
e
d
t
a
r
g
e
t
r
e
c
og
ni
t
i
on,
ba
t
t
l
e
f
i
e
l
d
s
ur
v
e
i
l
l
a
nc
e
,
a
u
t
ono
m
ous
v
e
hi
c
l
e
s
,
s
m
a
r
t
ho
m
e
s
,
a
nd
s
m
a
r
t
bui
l
di
ng
s
.
a
s
w
e
l
l
a
s
ne
a
r
l
y
b
y
e
v
e
r
y
do
m
a
i
n.
T
he
y
n
e
e
d
j
us
t
i
f
i
c
a
t
i
on
t
o
t
r
us
t
t
he
r
e
s
ul
t
s
,
be
c
a
us
e
i
t
i
s
a
g
r
e
a
t
c
onc
e
r
n f
or
pe
opl
e
’
s
l
i
v
e
s
, he
a
l
t
h, s
a
f
e
t
y
, s
e
c
ur
i
t
y
,
a
nd de
pe
nda
bi
l
i
t
y
.
ML
a
l
g
or
i
t
h
m
s
l
i
ke
s
uppor
t
v
e
c
t
or
m
a
c
hi
ne
(
S
V
M
)
,
l
i
ne
a
r
r
e
gr
e
s
s
i
on
(
L
R
)
,
n
e
ur
a
l
ne
t
w
o
r
k
(
N
N
)
,
de
c
i
s
i
on
t
r
e
e
(
D
T
)
,
a
nd
r
a
ndo
m
f
or
e
s
t
(
R
F
)
a
l
g
or
i
t
h
m
.
ge
ne
r
a
t
e
r
e
s
ul
t
s
i
n
t
he
f
or
m
of
pr
e
di
c
t
i
on
a
c
c
ur
a
c
y,
T
r
ue
/
F
a
l
s
e
or
Y
e
s
/
N
o.
B
l
a
c
k
box
i
s
a
t
e
r
m
us
e
d
f
or
t
he
m
ode
l
w
he
r
e
t
he
w
or
ki
n
g
of
t
he
m
ode
l
i
s
hi
d
de
n
a
nd
not
unde
r
s
t
ood
by
t
he
us
e
r
[
4]
.
T
he
m
ode
l
de
c
i
s
i
ons
a
r
e
non
-
t
r
a
ns
pa
r
e
nt
a
nd
of
t
e
n
i
nc
o
m
p
r
e
he
ns
i
bl
e
e
v
e
n
t
o
t
he
e
xpe
r
t
s
or
t
he
c
o
m
put
e
r
de
v
e
l
ope
r
s
a
s
t
he
y
do not
e
xpl
a
i
n t
he
r
e
s
ul
t
s
. T
hus
, t
he
i
nt
e
r
pr
e
t
a
bi
l
i
t
y
, r
e
l
i
a
bi
l
i
t
y
,
r
e
s
i
l
i
e
nc
y
, t
r
us
t
w
or
t
hi
ne
s
s
a
nd e
xpl
a
i
na
bi
l
i
t
y
i
s
e
xpe
c
t
e
d b
y
a
l
l
c
o
m
pl
e
x
a
ppl
i
c
a
t
i
ons
us
i
ng
A
I
/
M
L
/
D
L
m
ode
l
pr
e
di
c
t
i
ons
.
L
i
a
o
e
t
al
.
[
5]
f
ound
t
ha
t
t
he
m
a
j
or
l
i
m
i
t
a
t
i
on
of
t
he
A
I
a
l
g
or
i
t
h
m
i
s
t
he
i
r
bl
a
c
k
box
na
t
ur
e
.
I
n
or
de
r
t
o
a
c
c
e
pt
t
he
r
e
s
ul
t
s
g
e
ne
r
a
t
e
d
b
y
t
he
s
e
a
l
g
o
r
i
t
hm
s
,
t
he
t
e
c
hnol
ogy
c
a
l
l
e
d
e
xpl
a
i
na
bl
e
a
r
t
i
f
i
c
i
a
l
i
nt
e
l
l
i
g
e
nc
e
(
X
A
I
)
c
a
m
e
i
nt
o
e
xi
s
t
e
nc
e
.
T
hi
s
t
e
c
hnol
ogy
ha
s
t
he
c
a
pa
bi
l
i
t
y
t
o
e
xpl
a
i
n
t
he
r
e
s
ul
t
s
g
e
ne
r
a
t
e
d
by
A
I
m
ode
l
s
.
T
hou
g
h
X
A
I
i
s
v
a
s
t
l
y
unde
r
de
v
e
l
op
m
e
nt
,
i
t
ha
s
s
t
r
e
ng
t
h
t
o
br
i
dg
e
t
he
g
a
p
be
t
w
e
e
n
r
e
s
e
a
r
c
he
r
s
a
nd
m
a
c
hi
ne
s
.
T
he
r
e
a
r
e
m
a
n
y
c
ha
l
l
e
ng
e
s
i
n
us
i
ng
i
nt
e
r
pr
e
t
a
bl
e
ML
t
e
c
hnol
og
y
a
s
i
ndi
c
a
t
e
d
b
y
R
udi
n
e
t
al
.
[
6]
.
I
t
i
nc
l
ude
s
opt
i
m
i
z
a
t
i
on
of
DT
s
,
opt
i
m
i
z
a
t
i
on
of
s
c
or
i
ng
s
y
s
t
e
m
s
,
a
nd
pl
a
c
i
ng
c
ons
t
r
a
i
nt
s
i
nt
o
m
ode
l
s
f
or
be
t
t
e
r
i
nt
e
r
pr
e
t
a
bi
l
i
t
y
.
X
A
I
t
e
c
hnol
ogy
w
i
l
l
pl
a
y
a
m
a
j
or
r
ol
e
i
n
t
he
H
e
a
l
t
hc
a
r
e
s
e
c
t
or
w
h
e
r
e
t
he
r
e
i
s
s
t
i
l
l
a
l
i
t
t
l
e
a
c
c
e
pt
a
nc
e
of
AI
-
pr
e
di
c
t
e
d
r
e
s
ul
t
s
. C
om
pl
e
x di
s
e
a
s
e
s
s
uc
h
a
s
c
a
n
c
e
r
,
di
a
be
t
e
s
, he
a
r
t
d
i
s
e
a
s
e
s
, a
nd
m
a
n
y
ot
he
r
he
r
e
di
t
a
r
y
di
s
e
a
s
e
s
a
r
e
c
o
m
m
on
w
o
r
l
dw
i
de
.
C
ha
n
g
i
ng
l
i
f
e
s
t
y
l
e
,
s
e
l
f
-
m
e
di
c
a
t
i
on,
w
r
ong
e
a
t
i
ng
h
a
bi
t
s
a
r
e
s
o
m
e
of
t
he
r
e
a
s
ons
be
hi
nd
t
he
s
e
di
s
e
a
s
e
s
.
T
houg
h
m
a
ny
t
r
e
a
t
m
e
nt
opt
i
ons
a
r
e
a
va
i
l
a
bl
e
a
nd
be
i
n
g
pr
a
c
t
i
c
e
d i
n
m
a
n
y
c
ount
r
i
e
s
, a
c
c
ur
a
t
e
a
nd
m
os
t
s
ui
t
a
bl
e
t
r
e
a
t
m
e
nt
,
a
nd
t
i
m
e
l
y
di
s
e
a
s
e
pr
e
di
c
t
i
ons
a
r
e
s
o
m
e
o
f
t
he
c
ha
l
l
e
ng
e
s
[
7]
.
U
s
e
of
A
I
t
e
c
hnol
ogy
i
s
dr
a
s
t
i
c
a
l
l
y
h
e
l
pi
ng
i
n
pr
e
di
c
t
i
ng
t
he
f
ut
ur
e
,
ge
ne
r
a
t
i
ng
e
xpe
c
t
e
d
r
e
s
ul
t
s
,
pr
o
v
i
di
ng
s
ugg
e
s
t
i
ons
i
n
s
uc
h
v
e
r
y
c
o
m
pl
e
x
pr
obl
e
m
s
.
T
he
i
n
v
e
nt
i
on
of
X
A
I
,
a
l
ong
w
i
t
h
t
he
pow
e
r
f
ul
i
m
pl
i
c
a
t
i
ons
of
A
I
w
or
ks
w
e
l
l
,
m
a
ki
n
g
A
I
t
e
c
hnol
ogy
s
e
r
v
e
hu
m
a
nki
nd t
o a
gr
e
a
t
e
xt
e
nt
.
X
A
I
i
s
a
r
e
c
e
nt
r
e
s
e
a
r
c
h
f
i
e
l
d
w
he
r
e
t
he
s
ol
ut
i
ons
pr
ov
i
de
d
by
A
I
a
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[
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B
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G
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s
[
9]
s
t
a
t
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s
t
ha
t
de
v
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l
ope
r
s
a
nd
da
t
a
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[
10]
.
I
nt
r
i
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i
c
m
ode
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-
s
pe
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f
i
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m
e
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t
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o
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pone
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s
a
s
a
p
a
t
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DT
or
a
r
ul
e
i
n
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c
i
s
i
on
r
ul
e
or
a
w
e
i
g
ht
of
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f
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a
t
ur
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.
F
r
o
m
t
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r
e
g
r
e
s
s
i
on
m
ode
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s
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c
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t
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LR
m
ode
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t
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c
t
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t
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ht
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m
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t
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f
e
a
t
ur
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i
nput
s
w
he
r
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f
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t
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c
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m
e
r
i
c
,
bi
na
r
y
,
c
a
t
e
g
or
i
c
a
l
or
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r
c
e
pt
t
y
pe
.
W
hi
l
e
l
og
i
s
t
i
c
r
e
g
r
e
s
s
i
on
m
ode
l
,
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nt
e
r
pr
e
t
s
c
l
a
s
s
i
f
i
c
a
t
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on
pr
oba
bi
l
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t
i
e
s
w
i
t
h t
w
o
pos
s
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bl
e
ou
t
c
o
m
e
s
.
I
ns
t
e
a
d
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ot
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t
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l
i
ne
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a
l
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t
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on
i
s
us
e
d
t
o
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e
z
e
t
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out
put
of
a
l
i
ne
a
r
e
qua
t
i
on
be
t
w
e
e
n
0
a
nd
1.
T
he
DT
f
i
nds
t
he
r
e
l
a
t
i
ons
hi
p
be
t
w
e
e
n
f
e
a
t
ur
e
s
a
nd
out
c
om
e
w
hi
c
h
a
r
e
nonl
i
ne
a
r
.
I
nt
e
r
a
c
t
i
on
a
m
on
g
f
e
a
t
ur
e
s
i
s
c
ons
i
de
r
e
d.
T
h
e
de
c
i
s
i
on
r
ul
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i
s
a
s
i
m
pl
e
I
F
-
T
H
E
N
s
t
a
t
e
m
e
nt
w
i
t
h
c
ondi
t
i
on
a
nd
t
he
n
pr
e
di
c
t
i
on.
F
e
w
m
or
e
i
nt
r
i
ns
i
c
m
ode
l
s
pe
c
i
f
i
c
m
e
t
hods
a
r
e
R
ul
e
F
i
t
,
g
e
ne
r
a
l
i
z
e
d
l
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a
r
m
ode
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(
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L
M
)
,
ge
ne
r
a
l
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z
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ddi
t
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v
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(
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A
M
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a
ï
v
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B
a
y
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s
,
a
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-
ne
a
r
e
s
t
ne
i
g
hbour
(
K
NN
)
.
a
s
m
e
nt
i
one
d by
L
i
n
a
nd C
ha
ng
[
11]
.
G
ui
dot
t
i
e
t
al
.
[
12]
s
t
a
t
e
d
f
e
w
t
ool
s
or
m
e
t
hods
w
hi
c
h
a
r
e
de
s
i
g
n
e
d
f
or
m
ode
l
a
g
nos
t
i
c
i
nt
e
r
pr
e
t
a
t
i
ons
a
r
e
:
r
e
v
e
r
s
e
d
t
i
m
e
a
t
t
e
nt
i
on
m
ode
l
(
R
E
T
A
I
N
)
w
hi
c
h
w
o
r
ks
on
r
e
c
ur
r
e
nt
ne
ur
a
l
n
e
t
w
o
r
ks
(
R
N
N
)
,
l
a
y
e
r
-
w
i
s
e
r
e
l
e
v
a
nc
e
pr
opa
ga
t
i
on
(
L
R
P
)
,
l
oc
a
l
i
nt
e
r
pr
e
t
a
bl
e
m
ode
l
-
a
g
nos
t
i
c
e
xpl
a
na
t
i
ons
(
L
I
M
E
)
,
pa
r
t
i
a
l
de
pe
nde
nc
e
pl
ot
(
P
D
P
)
,
i
ndi
v
i
dua
l
c
ondi
t
i
ona
l
e
xpe
c
t
a
t
i
on/
i
m
pa
c
t
c
onf
i
de
nc
e
e
a
s
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(
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C
E
)
,
p
e
r
m
ut
a
t
i
on f
e
a
t
ur
e
i
m
por
t
a
n
c
e
,
a
c
c
u
m
ul
a
t
e
d
l
oc
a
l
e
f
f
e
c
t
s
(
A
L
E
)
p
l
ot
,
f
e
a
t
ur
e
i
nt
e
r
a
c
t
i
on,
s
c
ope
d
r
ul
e
s
(
A
nc
hor
s
)
,
E
L
I
5,
K
e
r
ne
l
S
H
A
P
.
2.
B
R
E
A
S
T
C
A
N
C
E
R
P
R
E
D
I
C
T
I
O
N
U
S
I
N
G
G
E
N
O
M
I
C
D
A
T
A
S
E
T
-
A
C
A
S
E
S
T
U
D
Y
B
r
e
a
s
t
c
a
nc
e
r
i
s
t
he
c
o
m
m
on
t
y
pe
o
f
c
a
nc
e
r
s
e
e
n
i
n
I
ndi
a
a
nd
w
or
l
d
-
w
i
de
[
13]
.
C
a
nc
e
r
pr
o
g
nos
i
s
i
s
pos
s
i
bl
e
us
i
ng
G
e
ne
e
xpr
e
s
s
i
on da
t
a
s
e
t
. R
i
g
or
ous
s
t
udi
e
s
a
r
e
be
i
ng
c
a
r
r
i
e
d out
a
c
r
os
s
t
he
w
or
l
d
t
o f
i
nd
c
a
nc
e
r
bi
om
a
r
ke
r
s
.
C
a
nc
e
r
di
s
e
a
s
e
ne
e
ds
pa
t
i
e
nt
s
pe
c
i
f
i
c
t
r
e
a
t
m
e
nt
[
14]
.
C
om
m
on
t
r
e
a
t
m
e
nt
doe
s
not
s
ui
t
e
v
e
r
y
pa
t
i
e
nt
.
D
a
s
e
t
al
.
[
15]
e
xp
l
a
i
ns
t
ha
t
g
e
ne
e
xpr
e
s
s
i
on
i
s
t
he
pe
r
f
e
c
t
bi
om
a
r
ke
r
f
or
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i
v
i
n
g
pa
t
i
e
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pe
c
i
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c
t
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e
a
t
m
e
nt
.
R
e
s
e
a
r
c
h
e
r
s
ha
v
e
f
ound
s
pe
c
i
f
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c
g
e
ne
s
t
ha
t
m
ut
a
t
e
i
n
s
pe
c
i
f
i
c
t
y
pe
s
of
c
a
n
c
e
r
s
.
I
f
a
pa
t
i
e
nt
pe
r
f
or
m
s
g
e
n
e
t
e
s
t
i
ng
f
or
s
pe
c
i
f
i
c
g
e
ne
s
,
c
a
n
c
e
r
c
a
n
be
de
t
e
c
t
e
d
a
t
a
n
e
a
r
l
y
s
t
a
g
e
.
D
e
t
e
c
t
i
on
of
c
a
nc
e
r
a
t
a
n
e
a
r
l
y
s
t
a
g
e
i
nc
r
e
a
s
e
s
t
he
c
ha
nc
e
s
of
a
pa
t
i
e
nt
’
s
s
ur
v
i
v
a
l
.
P
a
t
hol
og
i
e
s
l
i
ke
M
e
t
r
opol
i
s
i
n
I
ndi
a
a
r
e
of
f
e
r
i
n
g
g
e
ne
t
e
s
t
i
ng
a
t
a
n a
f
f
or
d
a
bl
e
c
os
t
.
2.1
.
D
at
as
e
t
s
ou
r
c
e
T
o
e
xpl
a
i
n
t
he
A
I
/
M
L
m
ode
l
e
xpl
a
i
na
bi
l
i
t
y
a
nd
r
e
l
i
a
bi
l
i
t
y
in
t
he
he
a
l
t
hc
a
r
e
dom
a
i
n,
w
e
ha
v
e
t
a
ke
n
B
r
e
a
s
t
C
a
nc
e
r
g
e
ne
e
xpr
e
s
s
i
on
da
t
a
s
e
t
f
r
o
m
U
C
I
ML
r
e
pos
i
t
or
y
of
M
L
da
t
a
ba
s
e
s
(
C
e
nt
r
e
f
or
ML
a
n
d
i
nt
e
l
l
i
g
e
nt
s
y
s
t
e
m
s
)
f
r
o
m
N
a
t
i
ona
l
I
ns
t
i
t
ut
e
of
D
i
a
b
e
t
e
s
a
nd
D
i
g
e
s
t
i
v
e
a
nd
K
i
dne
y
D
i
s
e
a
s
e
s
[
16]
.
T
h
e
obj
e
c
t
i
v
e
i
s
di
a
g
nos
t
i
c
a
l
l
y
pr
e
di
c
t
i
ng
w
he
t
he
r
a
pa
t
i
e
nt
ha
s
br
e
a
s
t
c
a
nc
e
r
m
a
l
i
g
na
nc
y
or
not
,
ba
s
e
d
on
c
e
r
t
a
i
n
di
a
g
nos
t
i
c
m
e
a
s
ur
e
m
e
nt
s
i
nc
l
ude
d
i
n
t
he
da
t
a
s
e
t
.
F
r
om
t
he
br
e
a
s
t
c
a
nc
e
r
g
e
n
e
e
xpr
e
s
s
i
on
da
t
a
s
e
t
,
21
g
e
ne
s
a
r
e
i
.e
.
,
B
R
C
A
1,
B
R
C
A
2,
P
A
L
B
2,
C
H
E
K
2,
C
D
H
1,
P
T
E
N
,
S
T
K
11,
T
P
53,
A
T
M
,
B
A
R
D
1
,
B
R
I
P
1,
C
A
S
P
8
,
C
T
L
A
4,
C
Y
P
19A
1,
F
G
F
R
2,
L
S
P
1,
M
A
P
3K
1,
M
R
E
11A
,
N
B
N
,
R
A
D
51,
T
E
R
T
a
r
e
t
a
ke
n
.
T
h
e
s
e
g
e
n
e
s
a
r
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t
e
s
t
e
d us
i
ng
M
i
c
r
oa
r
r
a
y
t
e
s
t
i
ng
a
s
s
t
a
t
e
d by
[
17
]
. T
hi
s
da
t
a
s
e
t
c
ont
a
i
ns
da
t
a
of
1
,
078 pa
t
i
e
nt
s
.
2.2
.
P
r
e
d
i
c
t
i
on
t
e
s
t
s
D
i
f
f
e
r
e
nt
ML
a
l
g
or
i
t
h
m
s
a
r
e
t
e
s
t
e
d on t
hi
s
da
t
a
s
e
t
. S
V
M
i
s
g
i
v
i
n
g
97.68 %
pr
e
di
c
t
i
on a
c
c
u
r
a
c
y
w
i
t
h
99%
pr
e
c
i
s
i
on,
96%
r
e
c
a
l
l
a
nd
97%
F
1
-
s
c
or
e
.
N
a
ï
v
e
B
a
y
e
s
a
l
g
or
i
t
h
m
g
i
v
e
s
92.59%
pr
e
di
c
t
i
on
a
c
c
ur
a
c
y
w
i
t
h
94%
pr
e
c
i
s
i
on,
91%
r
e
c
a
l
l
a
nd
92%
F
1
-
s
c
or
e
.
DT
a
l
g
or
i
t
h
m
g
i
v
e
s
98.98%
pr
e
di
c
t
i
on
a
c
c
ur
a
c
y
w
i
t
h
96%
pr
e
c
i
s
i
on,
95%
r
e
c
a
l
l
a
nd
96%
F
1
-
s
c
or
e
.
K
-
N
N
a
l
g
or
i
t
h
m
g
i
v
e
s
93.05%
pr
e
di
c
t
i
on
a
c
c
ur
a
c
y
w
i
t
h
100%
pr
e
c
i
s
i
on, 86%
r
e
c
a
l
l
a
nd 92%
F
1
-
s
c
or
e
.
T
he
pe
r
f
or
m
a
nc
e
of
ML
a
l
g
or
i
t
h
m
s
m
e
nt
i
one
d
a
bo
v
e
s
how
s
t
ha
t
t
he
y
a
l
l
a
r
e
pe
r
f
or
m
i
ng
w
e
l
l
.
A
n
y
s
of
t
w
a
r
e
de
v
e
l
ope
r
c
a
n
e
a
s
i
l
y
t
r
us
t
t
he
s
e
a
l
g
o
r
i
t
hm
s
f
o
r
ge
ne
r
i
c
a
ppl
i
c
a
t
i
ons
.
B
u
t
t
he
doc
t
or
s
,
c
l
i
ni
c
i
a
ns
or
m
e
di
c
a
l
e
xpe
r
t
s
w
ho t
r
e
a
t
pa
t
i
e
nt
s
, c
onduc
t
he
a
l
t
hc
a
r
e
r
e
s
e
a
r
c
h, de
v
e
l
op
m
e
di
c
i
ne
s
a
nd
v
a
c
c
i
ne
s
a
r
e
ba
s
e
d o
n
t
he
i
r
know
l
e
d
g
e
,
e
xpe
r
i
e
nc
e
a
nd
m
a
i
nl
y
pa
t
i
e
nt
’
s
hi
s
t
or
i
c
a
l
da
t
a
w
i
t
h di
s
e
a
s
e
s
ym
pt
o
m
s
, a
ge
, a
nd
m
a
n
y
ot
he
r
f
a
c
t
or
s
.
D
i
s
e
a
s
e
pr
e
di
c
t
i
on
f
or
a
p
a
t
i
e
nt
us
i
ng
A
I
/
M
L
t
e
c
hnol
o
g
y
m
us
t
r
e
a
di
l
y
be
unde
r
s
t
ood
by
m
e
di
c
a
l
pr
a
c
t
i
t
i
one
r
s
of
a
l
l
e
xpe
r
i
e
nc
e
l
e
v
e
l
s
.
T
h
e
y
s
houl
d
unde
r
s
t
a
nd
t
he
c
a
us
e
of
de
c
i
s
i
ons
, be
a
bl
e
t
o
r
e
l
a
t
e
f
e
a
t
ur
e
v
a
l
ue
s
of
i
ns
t
a
nc
e
t
o
i
t
s
pr
e
di
c
t
i
on,
know
t
he
r
e
a
s
on
be
hi
nd
c
l
a
s
s
i
f
i
c
a
t
i
on
a
nd
pr
e
di
c
t
i
on
r
e
s
ul
t
s
,
a
nd
t
o
unde
r
s
t
a
nd
w
hi
c
h
f
e
a
t
ur
e
ha
s
c
ont
r
i
but
e
d
i
n
t
he
pr
e
di
c
t
i
on
a
nd
w
ha
t
v
a
l
ue
of
f
e
a
t
ur
e
w
a
s
c
ons
i
de
r
e
d
i
n
t
he
pr
e
di
c
t
i
on.
ML
a
l
g
or
i
t
h
m
s
m
us
t
e
xpl
a
i
n
t
o
t
he
doc
t
or
s
w
h
y
a
pa
t
i
e
nt
i
s
pr
e
di
c
t
e
d
c
a
nc
e
r
p
os
i
t
i
v
e
or
ne
g
a
t
i
v
e
br
i
ng
i
ng
t
r
us
t
i
n de
c
i
s
i
ons
. T
he
m
a
c
hi
ne
pr
e
di
c
t
e
d r
e
s
ul
t
s
s
houl
d be
a
udi
t
a
bl
e
, c
om
pl
y
,
v
a
l
i
da
t
e
, a
nd de
bug
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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(
R
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291
3.
I
N
T
E
R
P
R
E
T
A
T
I
O
N
O
F
M
A
C
H
I
N
E
L
E
A
R
N
I
N
G
M
O
D
E
L
S
WI
T
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P
L
A
N
A
B
L
E
A
I
I
n
t
hi
s
s
e
c
t
i
on
w
e
w
i
l
l
s
e
e
how
t
he
pr
e
di
c
t
i
ons
or
r
e
s
ul
t
s
or
s
ug
ge
s
t
i
ons
g
i
v
e
n
by
A
I
/
M
L
m
ode
l
s
a
r
e
e
xpl
a
i
ne
d
or
i
nt
e
r
pr
e
t
e
d
f
or
c
o
m
pl
e
x
he
a
l
t
hc
a
r
e
a
ppl
i
c
a
t
i
ons
us
i
ng
t
he
r
e
c
e
nt
t
e
c
hnol
ogy
e
xpl
a
i
na
bl
e
A
I
.
T
he
t
r
a
ns
pa
r
e
nc
y
a
nd t
he
t
r
us
t
w
or
t
hi
ne
s
s
of
i
nt
r
i
ns
i
c
m
ode
l
-
s
pe
c
i
f
i
c
a
nd pos
t
-
hoc
i
.e
., m
od
e
l
-
a
g
nos
t
i
c
m
od
e
l
s
a
s
m
e
nt
i
one
d
by
M
i
t
r
os
a
nd
M
a
c
N
a
m
e
e
[
18]
a
r
e
pr
e
s
e
nt
e
d
w
i
t
h
t
he
c
a
s
e
s
t
udy
on
br
e
a
s
t
c
a
nc
e
r
da
t
a
s
e
t
.
F
or
a
n
i
n
t
r
i
ns
i
c
m
ode
l
-
s
pe
c
i
f
i
c
m
e
t
hod,
a
s
i
m
pl
e
LR
m
ode
l
i
s
e
xpl
a
i
ne
d
w
hi
c
h
i
t
s
e
l
f
i
s
e
x
pl
a
i
na
bl
e
w
i
t
h
t
he
he
l
p
of
a
v
a
i
l
a
bl
e
f
un
c
t
i
ona
l
i
t
i
e
s
.
S
uc
h
e
xpl
a
na
t
i
ons
a
r
e
not
pos
s
i
bl
e
w
i
t
h
a
l
l
t
he
ML
m
ode
l
s
due
t
o
t
he
i
r
c
o
m
pl
e
x na
t
ur
e
. F
or
pr
e
di
c
t
i
ng
r
e
s
ul
t
s
of
pos
t
-
hoc
m
ode
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-
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t
i
c
e
xpl
a
na
t
i
ons
, L
I
M
E
i
s
i
n
t
e
r
pr
e
t
e
d.
3.1
.
I
n
t
r
i
n
s
i
c
m
od
e
l
-
s
p
e
c
i
f
i
c
l
i
n
e
ar
r
e
gr
e
s
s
i
on
m
od
e
l
LR
m
ode
l
g
i
v
e
s
t
he
out
put
f
r
o
m
t
he
s
u
m
of
t
he
w
e
i
g
ht
s
of
t
he
f
e
a
t
ur
e
i
nput
s
.
K
i
m
e
t
al
.
[
19]
m
e
nt
i
ons
l
i
ne
a
r
m
ode
l
s
a
r
e
e
a
s
i
e
s
t
t
o
i
nt
e
r
pr
e
t
.
M
ode
l
-
s
pe
c
i
f
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c
e
xpl
a
na
t
i
ons
a
r
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e
a
s
i
l
y
pos
s
i
bl
e
w
i
t
h
t
he
LR
a
l
g
or
i
t
h
m
.
LR
c
a
n be
f
or
m
ul
a
t
e
d a
s
s
how
n i
n
(
1
)
.
=
0
+
1
1
+
2
2
+
3
3
+
…
+
(
1)
W
he
r
e
Y
i
i
s
t
he
t
a
r
ge
t
,
X
i
r
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pr
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e
nt
s
t
he
i
nput
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e
a
t
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,
β
0
i
s
c
a
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l
e
d
t
he
i
nt
e
r
c
e
pt
t
e
r
m
a
nd
i
s
t
he
c
ons
t
a
nt
.
Β
i
r
e
pr
e
s
e
nt
s
t
he
w
e
i
g
ht
of
t
he
i
nput
on t
he
f
i
na
l
out
put
. ϵ
i
s
c
a
l
l
e
d t
he
noi
s
e
of
t
he
m
ode
l
.
T
he
t
a
s
k he
r
e
i
s
t
o
t
r
a
i
n,
t
e
s
t
a
nd
e
xpl
a
i
n
t
ha
t
a
p
a
t
i
e
nt
’
s
br
e
a
s
t
c
a
nc
e
r
i
s
be
ni
g
n
or
m
a
l
i
g
n
a
nt
w
i
t
h
t
he
g
i
v
e
n
da
t
a
s
e
t
,
a
ppl
y
i
n
g
LR
w
i
t
h
P
y
t
hon.
I
ni
t
i
a
l
l
y
r
e
l
e
v
a
nt
l
i
br
a
r
i
e
s
a
nd
pa
c
ka
g
e
s
a
r
e
l
oa
de
d,
t
he
da
t
a
s
e
t
i
s
r
e
a
d
a
nd
v
i
e
w
e
d,
c
ol
u
m
n
s
a
nd
obs
e
r
v
a
t
i
ons
a
r
e
s
e
e
d
f
r
o
m
t
he
da
t
a
s
e
t
.
U
s
i
n
g
t
he
s
t
a
t
s
m
ode
l
pa
c
ka
g
e
f
r
o
m
P
yt
hon
c
oe
f
f
i
c
i
e
nt
s
,
t
-
s
t
a
t
i
s
t
i
c
s
,
s
t
a
nda
r
d
e
r
r
or
s
,
a
nd
p
-
v
a
l
ue
s
f
or
e
a
c
h
f
e
a
t
ur
e
a
r
e
m
e
a
s
ur
e
d
a
s
s
ho
w
n
i
n
t
he
F
i
g
ur
e
1.
T
h
e
c
onf
i
de
nc
e
i
nt
e
r
v
a
l
s
v
a
l
ue
s
of
f
e
a
t
ur
e
s
a
r
e
i
de
nt
i
f
i
e
d
a
s
s
how
n
i
n
F
i
g
ur
e
2.
T
he
c
oe
f
f
i
c
i
e
nt
’
s
v
a
l
ue
s
a
nd
s
t
a
nda
r
d e
r
r
or
s
c
a
n be
pl
ot
t
e
d a
s
s
how
n i
n
F
i
g
ur
e
3.
F
i
g
ur
e
1.
S
um
m
a
r
y
of
LR
’
s
out
put
us
i
ng
s
t
a
t
s
m
ode
l
pa
c
ka
g
e
F
i
g
ur
e
2. C
onf
i
de
nc
e
i
nt
e
r
v
a
l
v
a
l
ue
s
of
f
e
a
t
ur
e
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2502
-
4752
I
ndone
s
i
a
n J
E
l
e
c
E
n
g
&
C
om
p S
c
i
,
V
ol
.
40
, N
o.
1
,
O
c
t
obe
r
20
25
:
2
88
-
296
292
F
i
g
ur
e
3. C
oe
f
f
i
c
i
e
nt
v
a
l
ue
s
a
nd s
t
a
nda
r
d e
r
r
or
pl
ot
3.2
.
P
os
t
-
h
oc
m
od
e
l
-
agn
os
t
i
c
L
I
M
E
m
od
e
l
M
ode
l
-
a
g
nos
t
i
c
m
e
t
hods
a
r
e
m
or
e
f
l
e
xi
bl
e
a
nd
m
o
r
e
us
a
bl
e
c
o
m
pa
r
e
d
t
o
m
ode
l
-
s
pe
c
i
f
i
c
m
e
t
hods
.
T
he
s
e
m
e
t
hods
c
a
n
be
a
ppl
i
e
d
t
o
a
ny
ML
m
ode
l
.
L
I
M
E
i
s
a
n
e
xa
m
pl
e
of
a
pos
t
-
hoc
m
ode
l
-
a
g
nos
t
i
c
m
e
t
hod.
L
I
M
E
c
a
n
e
xpl
a
i
n
t
he
pr
e
di
c
t
i
o
ns
m
a
de
by
a
n
y
M
L
m
ode
l
l
i
ke
LR
,
a
nd
D
T
c
l
a
s
s
i
f
i
e
r
.
I
t
pr
o
v
i
de
s
a
n
i
ndi
v
i
dua
l
a
nd
l
oc
a
l
e
xpl
a
na
t
i
on
of
a
d
e
c
i
s
i
on
a
f
t
e
r
i
t
ha
s
be
e
n
m
a
de
.
I
t
m
odi
f
i
e
s
a
s
i
ngl
e
da
t
a
s
a
m
pl
e
b
y
t
w
e
a
ki
n
g
t
he
f
e
a
t
ur
e
v
a
l
ue
s
a
nd
obs
e
r
v
e
s
t
he
r
e
s
ul
t
i
ng
i
m
p
a
c
t
on
t
he
out
pu
t
by
c
r
e
a
t
i
ng
a
n
e
w
da
t
a
s
e
t
ha
v
i
n
g
s
a
m
pl
e
s
pe
r
m
ut
e
d
a
nd t
he
ne
w
p
r
e
di
c
t
i
ons
on t
he
m
ode
l
.
T
he
i
nt
e
r
pr
e
t
a
bl
e
m
ode
l
i
s
t
r
a
i
ne
d on t
hi
s
ne
w
l
y
g
e
ne
r
a
t
e
d da
t
a
s
e
t
.
T
hi
s
ne
w
m
o
de
l
ha
s
l
e
s
s
l
os
s
a
s
i
t
f
i
nds
t
he
c
l
os
e
ne
s
s
of
t
he
e
xpl
a
na
t
i
on
t
o
t
he
pr
e
di
c
t
i
on
of
t
he
i
n
i
t
i
a
l
m
ode
l
.
T
hus
,
L
I
M
E
g
i
v
e
s
e
xpl
a
na
t
i
ons
w
i
t
h
t
he
he
l
p
of
t
he
c
ont
r
i
but
i
on
of
e
a
c
h
f
e
a
t
ur
e
f
or
t
he
pr
e
di
c
t
i
on
a
nd
f
i
nds
w
hi
c
h
f
e
a
t
ur
e
c
ha
nge
s
w
i
l
l
ha
v
e
t
he
i
m
pa
c
t
o
n
t
he
pr
e
di
c
t
i
on
[
20
]
,
[
21]
.
H
e
r
e
l
e
t
s
e
e
ho
w
t
he
pr
e
di
c
t
i
ons
m
a
de
b
y
t
he
DT
c
l
a
s
s
i
f
i
e
r
a
r
e
e
xpl
a
i
ne
d
w
i
t
h
t
he
he
l
p
of
t
he
L
I
M
E
m
od
e
l
a
s
s
how
n
i
n
F
i
g
ur
e
4.
T
he
g
e
ne
s
t
ha
t
a
r
e
us
e
d
f
or
m
a
ki
ng
t
h
e
pr
e
di
c
t
i
on
by
t
he
c
l
a
s
s
i
f
i
e
r
a
r
e
s
how
n
a
l
ong
w
i
t
h
t
he
g
e
ne
’
s
v
a
l
ue
s
.
A
l
s
o,
t
he
g
e
n
e
s
t
ha
t
po
s
i
t
i
v
e
l
y
c
ont
r
i
but
e
i
n
t
he
pr
e
di
c
t
i
ons
a
r
e
s
how
n
i
n
g
r
e
e
n
c
ol
or
a
nd
one
w
hi
c
h
ne
g
a
t
i
v
e
l
y
c
ont
r
i
but
e
i
n
t
he
pr
e
di
c
t
i
on
a
r
e
s
how
n
i
n
or
a
ng
e
c
ol
or
.
T
he
L
I
M
E
m
ode
l
ha
s
a
not
e
book
f
e
a
t
ur
e
w
hi
c
h
e
xpl
a
i
ns
pr
e
di
c
t
i
on
r
e
s
ul
t
s
i
n
m
o
r
e
de
t
a
i
l
a
s
s
how
n i
n F
i
g
ur
e
5.
T
hi
s
i
s
t
he
pr
e
di
c
t
i
on
m
a
de
f
or
one
i
ns
t
a
nc
e
.
T
he
not
e
book
s
how
s
f
e
a
t
ur
e
s
t
ha
t
pos
i
t
i
v
e
l
y
c
ont
r
i
but
e
t
o
t
he
pr
e
di
c
t
i
ons
a
nd
i
t
a
l
s
o
s
how
s
f
e
a
t
ur
e
s
t
ha
t
ne
g
a
t
i
v
e
l
y
c
ont
r
i
but
e
t
o
t
he
pr
e
di
c
t
i
ons
.
I
t
a
l
s
o
s
how
s
w
hi
c
h
f
e
a
t
ur
e
s
a
r
e
us
e
d
f
or
t
he
pr
e
di
c
t
i
on
a
nd
w
ha
t
v
a
l
ue
s
of
t
he
f
e
a
t
ur
e
s
a
r
e
us
e
d.
I
t
he
l
ps
t
he
do
c
t
or
t
o
unde
r
s
t
a
nd
a
nd
f
i
nd
w
hi
c
h
g
e
ne
s
a
r
e
m
ut
a
t
e
d.
I
f
s
pe
c
i
f
i
c
g
e
ne
s
a
r
e
m
ut
a
t
e
d
i
n
a
pa
t
i
e
nt
,
i
t
i
ndi
c
a
t
e
s
t
ha
t
t
he
pa
t
i
e
nt
i
s
l
i
ke
l
y
t
o
de
v
e
l
op
c
a
nc
e
r
s
oon.
I
n
c
a
s
e
of
hi
g
he
r
c
ha
nc
e
s
of
de
v
e
l
opi
ng
c
a
nc
e
r
,
t
r
e
a
t
m
e
nt
c
a
n
be
s
t
a
r
t
e
d
i
m
m
e
di
a
t
e
l
y
w
i
t
h
t
he
h
e
l
p
of
m
or
e
t
e
s
t
i
ng
,
pr
e
c
a
ut
i
ons
,
a
nd
m
e
di
c
a
t
i
ons
[
22
]
-
[
25]
.
B
y
g
e
ne
r
a
t
i
ng
t
h
e
c
l
a
s
s
i
f
i
c
a
t
i
on
r
e
por
t
a
nd
pr
e
di
c
t
i
ng
t
he
m
a
c
r
o
a
v
e
r
a
ge
,
w
e
i
g
ht
e
d
a
v
e
r
a
g
e
a
c
c
u
r
a
c
y
w
i
t
h
pr
e
c
i
s
i
on
,
r
e
c
a
l
l
a
nd
F
m
e
a
s
ur
e
t
he
s
ugge
s
t
e
d r
e
s
ul
t
s
be
c
o
m
e
e
xpl
a
i
na
bl
e
.
F
i
g
ur
e
4. L
oc
a
l
e
xpl
a
na
t
i
ons
of
DT
c
l
a
s
s
i
f
i
e
r
b
y
L
I
M
E
Evaluation Warning : The document was created with Spire.PDF for Python.
I
ndone
s
i
a
n J
E
l
e
c
E
n
g
&
C
om
p S
c
i
I
S
S
N
:
2502
-
4752
I
m
pr
ov
i
ng b
r
e
as
t
c
anc
e
r
pr
e
d
i
c
t
i
on
t
hr
ough e
x
pl
a
i
nab
l
e
ar
t
i
f
i
c
i
a
l
i
nt
e
l
l
i
ge
nc
e
…
(
R
e
e
na L
o
k
ar
e
)
293
F
i
g
ur
e
5. L
I
M
E
N
ot
e
book e
xpl
a
i
ni
ng
pr
e
di
c
t
i
ons
m
a
de
b
y
t
he
DT
c
l
a
s
s
i
f
i
e
r
4.
R
E
S
U
L
T
S
T
he
i
m
pl
e
m
e
nt
e
d
r
e
s
ul
t
s
f
or
i
nt
r
i
n
s
i
c
m
ode
l
-
s
pe
c
i
f
i
c
a
nd
pos
t
-
hoc
m
ode
l
a
g
nos
t
i
c
e
xpl
a
i
na
bl
e
A
I
m
e
t
hods
c
onc
l
ude
t
ha
t
A
I
/
M
L
a
l
g
o
r
i
t
h
m
pr
e
di
c
t
i
ons
c
a
n
be
m
a
de
us
a
bl
e
,
t
r
us
t
w
or
t
hy
,
r
e
l
i
a
bl
e
,
a
nd
m
or
e
i
m
por
t
a
nt
l
y
a
c
c
e
pt
a
bl
e
i
n
t
oda
y
s
’
c
om
pl
e
x
a
ppl
i
c
a
t
i
ons
l
i
ke
he
a
l
t
hc
a
r
e
4.0.
X
A
I
m
od
e
l
s
s
h
ow
t
ha
t
t
he
r
e
s
ul
t
s
of
a
ny
ML
a
l
g
o
r
i
t
hm
c
a
n
be
e
xpl
a
i
ne
d
t
o
a
l
l
l
e
v
e
l
s
of
us
e
r
s
,
m
a
ki
n
g
t
he
m
t
r
us
t
a
nd
be
l
i
e
v
e
t
he
c
or
r
e
c
t
ne
s
s
of
pr
e
di
c
t
e
d
r
e
s
ul
t
s
.
X
A
I
p
a
c
ka
g
e
s
a
r
e
a
v
a
i
l
a
bl
e
i
n
P
y
t
hon
a
s
w
e
l
l
a
s
R
pr
o
g
r
a
m
m
i
ng
l
a
n
g
ua
ge
s
c
ha
n
g
i
n
g
t
h
e
bl
a
c
k
-
box na
t
ur
e
of
M
L
a
l
g
or
i
t
h
m
s
i
nt
o c
o
m
pl
e
t
e
l
y
t
r
a
ns
pa
r
e
nt
w
hi
t
e
-
box
m
ode
l
s
.
5.
C
O
N
C
L
U
S
I
O
N
T
oda
y
e
v
e
r
y
bus
i
ne
s
s
s
e
c
t
or
,
i
ndus
t
r
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[
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.
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e
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u
w
e
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h
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f
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I
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n
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l
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n
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e
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e
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ubs
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ur
e
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ot
e
s
i
n
B
i
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nf
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c
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t
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a
r
t
i
f
i
c
i
a
l
i
nt
e
l
l
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g
e
n
c
e
&
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s
s
oc
i
a
t
e
d
t
e
c
h
n
ol
o
gi
e
s
,
”
P
r
oc
e
e
di
ng
of
I
nt
e
r
nat
i
onal
C
on
f
e
r
e
nc
e
on
E
m
e
r
gi
ng
T
e
c
hn
ol
ogi
e
s
i
n
E
ngi
ne
e
r
i
ng,
B
i
om
e
di
c
al
,
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anage
m
e
nt
and
S
c
i
e
n
c
e
[
E
T
E
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R
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C
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of
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i
,
M
.
T
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va
g
l
i
o
n
i
,
G
.
P
i
s
c
i
t
e
l
l
i
,
A
.
P
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r
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l
l
o,
a
n
d
F
.
D
e
F
e
l
i
c
e
,
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r
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c
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a
l
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n
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l
l
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g
e
n
c
e
a
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d
m
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e
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r
ni
ng
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ppl
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c
a
t
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o
n
s
i
n
s
m
a
r
t
pr
oduc
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i
o
n
:
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o
g
r
e
s
s
,
t
r
e
n
ds
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n
d
di
r
e
c
t
i
o
n
s
,
”
Sus
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a
i
n
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bl
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r
o
m
bl
a
c
k
bo
x
t
o
gl
a
s
s
box
,
”
J
our
nal
of
t
he
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c
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y
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ar
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a
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R
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B
e
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l
a
m
y,
“
I
nt
r
oduc
t
i
o
n
t
o
e
xp
l
a
i
n
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bl
e
A
I
,
”
i
n
C
onf
e
r
e
nc
e
on
H
um
an
F
ac
t
or
s
i
n
C
om
put
i
ng
Sy
s
t
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r
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H
ua
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L
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S
e
m
e
n
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C
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Z
h
o
ng,
“
I
n
t
e
r
pr
e
t
a
bl
e
m
a
c
h
i
n
e
l
e
a
r
n
i
ng
:
f
u
n
da
m
e
n
t
a
l
pr
i
n
c
i
pl
e
s
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nd
10
g
r
a
n
d
c
h
a
l
l
e
ng
e
s
,
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St
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i
s
t
i
c
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Sur
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ol
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a
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i
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l
o,
a
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a
z
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A
r
e
s
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ur
r
e
n
t
c
h
a
l
l
e
ng
e
s
i
n
c
a
n
c
e
r
t
r
e
a
t
m
e
nt
,
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l
i
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c
a
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T
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r
t
i
f
i
c
i
a
l
i
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t
e
l
l
i
g
e
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c
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:
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s
ur
ve
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”
i
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2018
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t
I
nt
e
r
nat
i
ona
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C
onv
e
nt
i
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I
nf
or
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at
i
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and
C
om
m
uni
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at
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on
T
e
c
hn
o
l
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E
l
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t
r
oni
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s
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i
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x
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i
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a
bl
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our
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kl
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I
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S
a
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h
e
z
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obus
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s
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n
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l
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i
g
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n
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e
,
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J
oi
nt
R
e
s
e
ar
c
h
C
e
nt
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om
m
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J
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ds
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n
t
e
r
p
r
e
t
i
ng
M
L
-
ba
s
e
d
a
ut
o
m
a
t
e
d
m
a
l
w
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r
e
de
t
e
c
t
i
o
n
m
ode
l
s
:
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s
ur
ve
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A
r
X
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O
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t
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P
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dr
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“
A
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ur
ve
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e
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f
o
r
e
x
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l
a
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n
i
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bl
a
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k
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hi
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i
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e
r
pr
e
t
a
b
i
l
i
t
y:
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s
ur
ve
y
o
n
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e
t
h
od
s
a
n
d
m
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V
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T
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n
d
m
a
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a
g
e
m
e
n
t
of
br
e
a
s
t
c
a
n
c
e
r
:
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n
ove
r
vi
e
w
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”
J
our
nal
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A
dv
anc
e
d
P
har
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a
c
e
ut
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a
l
T
e
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t
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o
gn
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i
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ng
f
u
n
c
t
i
o
n
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l
g
e
n
o
m
i
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da
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U
n
i
ve
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f
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S
c
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x
c
a
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c
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r
g
e
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o
m
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c
s
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d
c
l
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n
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c
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of
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s
us
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t
h
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B
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g
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a
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i
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t
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h
oc
e
x
pl
a
n
a
t
i
o
n
s
f
or
p
r
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di
c
t
i
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