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[
2
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.
W
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5
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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8708
I
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C
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,
Vo
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9
,
No
.
2
,
A
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r
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201
9
:
1
3
7
9
-
1384
1380
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o
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ith
m
p
r
o
d
u
ce
s
a
n
u
m
b
er
o
f
g
e
n
er
atio
n
s
t
h
at
i
n
v
o
lv
e
g
en
etic
o
p
er
atio
n
s
s
u
ch
a
s
s
e
le
ctin
g
,
r
ep
r
o
d
u
cin
g
,
an
d
m
u
tatio
n
to
r
ea
ch
t
h
e
b
est
s
o
lu
tio
n
[
5
]
-
[
9
]
.
2.
RE
VI
E
W
O
F
RE
L
E
VAN
T
RE
S
E
ARCH
S
Ma
n
y
r
esear
c
h
er
s
w
o
r
k
ed
i
n
a
class
i
f
icatio
n
o
f
m
ed
ica
l
d
is
e
ases
d
ataset
s
.
I
n
f
ac
t,
t
h
i
s
f
ie
l
d
h
as
b
ee
n
a
r
ich
s
u
b
j
ec
t
f
o
r
th
e
r
esear
ch
er
s
an
d
th
e
r
e
s
u
l
t
o
f
t
h
is
in
ter
est
w
as
a
n
u
m
b
er
o
f
r
esear
c
h
es.
T
h
e
ai
m
o
f
t
h
i
s
p
ap
er
is
to
p
r
o
v
id
e
an
o
th
er
r
esear
ch
b
ased
o
n
u
s
i
n
g
t
h
e
in
tell
ig
e
n
t
s
y
s
te
m
s
i
n
t
h
e
p
r
o
ce
s
s
o
f
d
is
ea
s
es
d
iag
n
o
s
i
n
g
an
d
clas
s
i
f
icatio
n
t
h
r
o
u
g
h
m
ed
ical
d
ataset.
T
ab
le
1
co
v
er
s
p
ap
er
s
p
u
b
lis
h
ed
in
t
h
e
r
ec
en
t
y
ea
r
s
f
o
r
ea
ch
d
ataset
u
s
ed
in
t
h
is
w
o
r
k
.
T
ab
le
1.
Su
m
m
ar
y
o
f
R
elev
a
n
t Res
ea
r
ch
e
s
R
e
f
.
n
o
P
u
b
l
i
s
h
i
n
g
Y
e
a
r
M
e
t
h
o
d
o
l
o
g
y
C
l
a
ssi
f
i
c
a
t
i
o
n
r
a
t
e
P
I
M
A
[
9
]
2
0
1
2
A
N
N
a
n
d
sw
a
r
m o
p
t
i
mi
z
a
t
i
o
n
8
0
.
6
2
%
,
[
1
0
]
2
0
1
5
C
o
n
f
u
s
i
o
n
ma
t
r
i
x
8
1
.
8
9
[
1
1
]
2
0
1
7
L
o
g
i
st
i
c
r
e
g
r
e
ssi
o
n
8
0
.
4
3
%
I
r
a
q
i
D
i
a
b
e
t
e
s
[
1
2
]
2
0
1
5
I
mp
r
o
v
e
d
R
I
P
P
ER
1
0
0
%
[
5
]
2
0
1
6
G
e
n
e
t
i
c
a
l
g
o
r
i
t
h
m
a
n
d
K
-
me
a
n
s
9
8
%
L
u
n
g
c
a
n
c
e
r
[
1
3
]
2
0
1
5
B
a
c
k
P
r
o
p
a
g
a
t
i
o
n
9
6
%
[
1
4
]
2
0
1
7
L
o
g
i
st
i
c
R
e
g
r
e
ssi
o
n
7
7
.
4
%
[
1
5
]
2
0
1
7
R
B
F
N
e
u
r
a
l
N
e
t
w
o
r
k
8
1
.
2
5
%
B
r
e
a
st
c
a
n
c
e
r
(
W
B
C
D
)
[
1
3
]
2
0
1
5
A
N
N
b
a
se
d
o
n
m
i
g
r
a
t
i
o
n
me
t
h
o
d
9
9
.
9
7
%
[
1
6
]
2
0
1
6
G
e
n
e
t
i
c
a
l
g
o
r
i
t
h
m
a
n
d
K
-
me
a
n
s
9
8
%
[
5
]
2
0
1
7
A
N
N
a
n
d
g
e
n
e
t
i
c
a
l
g
o
r
i
t
h
m fo
r
t
r
a
i
n
i
n
g
1
0
0
%
S
t
a
t
l
o
g
(
h
e
a
r
t
)
[
1
7
]
2
0
1
5
S
V
M
8
7
.
5
%
[
1
6
]
2
0
1
6
G
e
n
e
t
i
c
a
l
g
o
r
i
t
h
m
a
n
d
K
-
me
a
n
s
8
7
%
[
1
8
]
2
0
1
6
F
u
z
z
y
w
i
t
h
g
r
a
d
i
e
n
t
d
e
sce
n
t
8
5
.
8
[
1
9
]
2
0
1
7
F
u
z
z
y
P
e
t
r
i
N
e
t
s
7
5
%
3.
T
H
E
P
RO
P
O
SE
D
M
E
T
H
O
DO
L
O
G
Y
T
h
e
i
d
e
a
ad
o
p
t
ed
b
y
th
is
p
a
p
er
is
s
u
m
m
ar
ize
d
w
ith
u
s
in
g
o
f
g
en
et
ic
alg
o
r
i
th
m
to
p
ick
t
h
e
p
er
f
e
ct
f
ea
tu
r
es
f
r
o
m
th
e
d
ata
b
ase
t
o
b
e
co
m
e
th
e
in
p
u
t
o
f
th
e
n
eu
r
a
l
n
et
.
T
h
e
p
ar
am
eter
s
f
o
r
G
.
A
.
in
th
is
w
o
r
k
a
r
e
s
e
t
as f
o
ll
o
w
s
:
a.
R
ep
r
o
d
u
c
in
g
p
r
o
b
a
b
il
ity
=0
.
9
b.
Mu
tati
o
n
p
r
o
b
ab
ilit
y
=0
.
1
c.
Nu
m
b
er
o
f
in
d
iv
i
d
u
als
in
p
o
p
u
lati
o
n
=
5
0
d.
L
en
g
th
o
f
ch
r
o
m
o
s
o
m
e
=
Nu
m
b
er
o
f
f
ea
tu
r
es
in
th
e
d
atas
et
u
n
d
e
r
a
p
p
lic
ati
o
n
.
e.
T
y
p
e
o
f
en
co
d
in
g
:
b
in
a
r
y
.
T
h
e
N
.
N
u
s
e
d
in
th
e
c
lass
if
i
ca
t
io
n
p
r
o
ce
s
s
is
ch
a
r
a
ct
er
i
ze
d
b
y
th
e
f
o
l
lo
w
in
g
p
r
o
p
e
r
ti
es:
a.
Nu
m
b
er
o
f
in
p
u
ts
=N
u
m
b
e
r
o
f
f
ea
tu
r
es
ch
o
s
en
b
y
G.
A
.
b.
Nu
m
b
er
o
f
o
u
tp
u
ts
=
1
(
o
n
e
ce
ll
is
a
d
e
q
u
at
e
f
o
r
p
at
ien
t'
s
d
iag
n
o
s
is
:
h
ea
lth
y
/s
ick
)
c.
Nu
m
b
er
o
f
h
i
d
d
en
lay
er
s
=
1
w
i
th
1
3
c
ells
d.
A
ctiv
ati
o
n
f
u
n
cti
o
n
o
f
h
i
d
d
en
/
o
u
t
p
u
t l
ay
er
is
“
tan
s
ig
"/
"
l
o
g
s
ig
”
C
lea
r
ly
,
N.
N
.
a
r
ch
i
tec
tu
r
e
is
i
n
f
lu
en
ce
d
b
y
th
e
r
esu
lts
o
f
th
e
g
en
etic
alg
o
r
i
th
m
.
T
h
e
n
o
o
f
ce
lls
in
th
e
in
ter
m
ed
i
at
e
an
d
o
u
t
p
u
t
lay
er
s
ar
e
f
ix
e
d
w
h
ile
th
e
n
o
.
o
f
ce
lls
in
th
e
in
p
u
t
lay
er
a
r
e
d
if
f
er
en
t
f
r
o
m
o
n
e
ch
r
o
m
o
s
o
m
e
to
an
o
th
e
r
d
e
p
en
d
in
g
o
n
th
e
n
u
m
b
er
o
f
f
ea
tu
r
es
ch
o
s
en
b
y
ch
r
o
m
o
s
o
m
e
as
s
ee
n
lat
er
.
W
e
ca
n
im
ag
in
e
th
e
a
r
ch
ite
ctu
r
e
n
etw
o
r
k
as
s
h
o
w
n
in
Fig
u
r
e
1
.
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
-
8708
C
la
s
s
i
fica
tio
n
o
f m
ed
ica
l d
a
t
a
s
ets u
s
in
g
b
a
ck
p
r
o
p
a
g
a
tio
n
n
eu
r
a
l n
etw
o
r
k
p
o
w
ered
…
(
N
o
o
r
K
a
d
h
im
A
yo
o
b
)
1381
Fig
u
r
e
1
.
A
r
ch
ite
ctu
r
e
o
f
N.
N
c
lass
if
i
er
I
n
g
en
e
r
a
l,
th
e
s
y
s
tem
co
n
s
is
ts
o
f
th
e
f
o
l
lo
w
in
g
p
h
ases
:
1.
First
p
h
ase:
"Ge
t
tin
g
th
e
Prim
ar
y
So
lu
ti
o
n
s
"
First
o
f
al
l,
G
.
A
.
is
c
r
e
atin
g
s
et
o
f
b
in
a
r
y
ch
r
o
m
o
s
o
m
es
r
an
d
o
m
ly
.
T
h
e
v
a
lu
e
(
1
)
in
d
ic
at
e
s
th
at
th
e
co
r
r
es
p
o
n
d
in
g
f
ea
tu
r
e
is
s
ele
ct
ed
to
b
e
an
in
p
u
t
t
o
N
.
N
class
i
f
ier
w
h
ile
th
e
v
a
lu
e
(
0
)
r
ef
er
s
t
o
f
e
atu
r
es
th
a
t
w
ill
b
e
n
eg
lec
te
d
.
F
o
r
ex
am
p
le
,
th
e
f
o
ll
o
w
in
g
ch
r
o
m
o
s
o
m
e
is
in
te
r
p
r
ete
d
as
s
e
lec
tin
g
2
f
ea
tu
r
es
o
f
6
(
f
e
atu
r
e
n
o
.
1
an
d
4
)
t
o
p
a
r
ti
ci
p
a
te
in
th
e
clas
s
if
icat
io
n
p
r
o
c
ess
as in
p
u
ts
w
h
ile
n
eg
le
ctin
g
th
e
r
em
ain
in
g
o
n
es:
2.
S
ec
o
n
d
P
h
a
s
e
:
"R
u
n
n
i
n
g
N
e
u
r
a
l
N
etw
o
r
ks
t
o
A
s
s
ess
t
h
e
C
h
r
o
m
o
s
o
me
"
T
h
e
d
a
ta
b
as
e
t
o
b
e
class
if
i
e
d
is
d
iv
i
d
e
d
in
t
o
tw
o
g
r
o
u
p
s
,
o
n
e
f
o
r
tr
ain
in
g
an
d
th
e
o
th
er
f
o
r
t
esti
n
g
.
T
h
e
ca
l
cu
lat
ed
r
at
io
is
c
o
n
s
i
d
e
r
e
d
t
o
b
e
th
e
f
itn
ess
o
f
th
e
ch
r
o
m
o
s
o
m
e
as
illu
s
t
r
at
e
d
in
Fig
u
r
e
2.
Fig
u
r
e
2
.
C
alcu
l
atin
g
th
e
f
i
tn
es
s
T
h
e
N.
N
.
is
t
r
ain
e
d
b
y
u
s
in
g
d
at
a
o
f
ch
o
s
en
f
ea
tu
r
es
in
tr
ai
n
in
g
g
r
o
u
p
t
o
g
et
th
e
f
in
al
w
e
ig
h
ts
.
A
f
ter
th
at,
th
e
t
r
ain
e
d
n
et
u
s
es
d
a
ta
o
f
ch
o
s
en
f
ea
tu
r
es
in
th
e
t
esti
n
g
g
r
o
u
p
to
ex
am
in
e
th
e
p
e
r
f
o
r
m
an
ce
o
f
N
.
N
w
h
e
n
w
o
r
k
in
g
w
ith
p
at
te
r
n
s
d
if
f
er
f
r
o
m
tr
a
in
in
g
o
n
es
an
d
th
en
c
o
m
p
u
tes
th
e
r
ati
o
b
y
th
e
f
o
l
lo
w
in
g
e
q
u
ati
o
n
:
atio
(
1
)
w
h
ere
:
C
:
N
u
m
b
er
o
f
p
a
tie
n
ts
w
h
o
s
e
d
i
a
g
n
o
s
e
d
b
y
t
h
e
s
yst
em
c
o
r
r
e
ctly
a
s
d
o
c
u
m
en
te
d
in
t
h
e
d
a
ta
b
a
s
e.
N
:
T
o
t
a
l
n
u
m
b
er
o
f
p
a
tie
n
ts
i
n
test
i
n
g
g
r
o
u
p
.
1
0
0
1
0
0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
2
,
A
p
r
il
201
9
:
1
3
7
9
-
1384
1382
3.
T
h
ir
d
p
h
as
e:
"E
x
p
l
o
r
in
g
M
o
r
e
So
lu
ti
o
n
s
Usi
n
g
G
en
eti
c
Op
er
ati
o
n
s
"
G.
A
co
n
tin
u
es
to
s
ea
r
ch
n
ew
s
o
lu
ti
o
n
s
t
o
f
in
d
f
e
atu
r
es
th
at
h
av
e
th
e
h
ig
h
est
im
p
ac
t
o
n
th
e
class
if
ie
r
;
th
is
is
d
o
n
e
b
y
u
s
in
g
th
r
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g
en
etic
o
p
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r
ati
o
n
s
:
a.
Pre
p
a
r
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tw
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ch
r
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m
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s
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m
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f
o
r
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tag
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e
f
i
r
s
t
m
ate
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ch
o
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y
p
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g
tw
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ch
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an
d
o
m
ly
f
r
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th
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cu
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t
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d
th
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ch
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w
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w
in
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th
e
co
m
p
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.
T
h
e
s
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n
d
m
ate
is
s
el
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te
d
in
th
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s
am
e
m
an
n
er
.
b.
R
ep
r
o
d
u
c
in
g
s
tag
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e
g
en
e
s
o
f
s
ele
ct
ed
m
ates
a
r
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m
ix
ed
t
o
p
r
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d
u
c
e
n
ew
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o
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tio
n
s
.
I
n
i
tial
ly
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n
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w
s
o
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ti
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s
l
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ates
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ates e
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as
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in
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ig
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r
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r
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3
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g
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d
w
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k
Mu
tati
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RE
SUL
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ased
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k
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ith
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d
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ith
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k
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w
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ca
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ca
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ed
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ce
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n
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n
eu
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et
w
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s
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f
u
n
d
a
m
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tal
r
o
le
in
r
ed
u
c
in
g
f
ea
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r
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RE
F
E
R
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NC
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S
[1
]
A
sr
a
a
A
b
d
a
ll
u
h
Hu
ss
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in
a
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d
Zai
n
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9
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.
[2
]
A
sr
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a
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b
d
a
ll
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h
H
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ss
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i
n
,
"
Im
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e
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6
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[3
]
M
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D
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P
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rt
Dise
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se
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ter
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trica
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p
.
1
5
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9
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7
6
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De
c
2
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[4
]
H.K.
P
a
lo
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n
d
M
ih
ir
Na
ra
y
a
n
M
o
h
a
n
ty
,
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si
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ica
ti
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ter
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p
.
3
1
1
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1
7
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2
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5
.
[5
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Hu
ss
in
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m
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fo
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a
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s
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o
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y
Ap
p
li
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n
s
(
NT
ICT
)
An
n
u
a
l
Co
n
fer
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n
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e
,
2
0
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Evaluation Warning : The document was created with Spire.PDF for Python.
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No
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A
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b
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A
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s
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.
Ha
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.
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f
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Bra
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[7
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Hu
ss
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L
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No
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.
Ay
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o
b
,
"
Bre
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st
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a
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r
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sin
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z
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le
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se
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m
,
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o
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rn
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y
.
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c
e
s
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o
.
4
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l.
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3
.
[8
]
Nitas
h
a
S
o
n
i
a
n
d
Dr.
T
a
p
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s
Ku
m
a
r
,
"
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tu
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y
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h
m
s,
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ter
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o
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Co
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p
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ter
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c
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e
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n
d
In
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n
T
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h
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o
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v
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l.
5
(6
),
p
p
.
7
2
3
5
-
7
2
3
8
,
2
0
1
4
.
[9
]
S
a
tch
id
a
n
a
n
d
a
De
h
u
ria,
Ra
h
u
l
Ro
y
b
,
S
u
n
g
-
Ba
e
Ch
o
c
a
n
d
As
h
ish
G
h
o
sh
d
,
"
A
n
I
m
p
ro
v
e
d
S
wa
r
m
Op
ti
m
ize
d
F
u
n
c
ti
o
n
a
l
L
in
k
A
rti
f
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l
Ne
u
ra
l
Ne
tw
o
rk
(
IS
O
-
F
LA
N
N
)
f
o
r
Clas
s
if
ica
t
io
n
,"
T
h
e
J
o
u
rn
a
l
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S
y
ste
ms
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n
d
S
o
ft
w
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re
(
El
se
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e
r)
,
p
p
.
1
3
3
3
–
1
3
4
5
,
2
0
1
2
.
[1
0
]
Am
it
k
u
m
a
r
D
e
w
a
n
g
a
n
,
P
ra
g
a
ti
A
g
ra
wa
l,
"
Clas
si
f
ica
ti
o
n
o
f
Dia
b
e
tes
M
e
ll
it
u
s
Us
in
g
M
a
c
h
in
e
L
e
a
rn
in
g
T
e
c
h
n
iq
u
e
s,
"
In
ter
n
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ti
o
n
a
l
J
o
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a
l
o
f
En
g
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e
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g
a
n
d
A
p
p
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ied
S
c
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e
s (
I
J
EA
S
)
,
v
o
l.
2
,
Iss
u
e
-
5
,
M
a
y
2
0
1
5
.
[1
1
]
M
e
ra
j
Na
b
i,
P
ra
d
e
e
p
Ku
m
a
r
a
n
d
A
b
d
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l
W
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h
id
,
"
P
e
rf
o
rm
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n
c
e
A
n
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o
f
Cla
ss
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f
ica
ti
o
n
A
l
g
o
rit
h
m
s
in
P
re
d
ictin
g
Dia
b
e
tes
,
"
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
d
v
a
n
c
e
d
Res
e
a
rc
h
in
Co
mp
u
t
e
r S
c
ien
c
e
,
v
o
l.
8
(
3
),
2
0
1
7
.
[1
2
]
M
o
h
a
m
m
e
d
A
.
Na
s
e
r,
F
ry
a
l
J.
A
b
d
A
l_
Ra
z
a
q
,
"
Us
in
g
Da
ta
M
i
n
in
g
T
e
c
h
n
iq
u
e
to
Clas
sify
M
e
d
ica
l
Da
ta
S
e
t,
"
J
o
u
rn
a
l
o
f
B
a
b
y
lo
n
Un
ive
rs
it
y
/P
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re
a
n
d
Ap
p
li
e
d
S
c
ien
c
e
s
,
n
o
.
4
v
o
l
.
2
3
,
2
0
1
5
.
[1
3
]
S
u
d
i
p
M
a
n
d
a
l
a
n
d
In
d
ro
ji
t
Ba
n
e
rjee
,
"
C
a
n
c
e
r
Clas
sif
i
c
a
ti
o
n
Us
in
g
Ne
u
ra
l
Ne
t
w
o
rk
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Eme
rg
in
g
En
g
in
e
e
rin
g
Res
e
a
rc
h
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
3
,
Iss
u
e
7
,
p
p
.
1
7
2
-
1
7
8
,
J
u
l
2
0
1
5
.
[1
4
]
A
n
i
m
e
sh
Ha
z
ra
,
Na
n
ig
o
p
a
l
Be
r
a
a
n
d
Av
ij
it
M
a
n
d
a
l,
"
P
re
d
icti
n
g
L
u
n
g
Ca
n
c
e
r
S
u
rv
iv
a
b
il
it
y
u
sin
g
S
V
M
a
n
d
L
o
g
isti
c
Re
g
r
e
ss
io
n
A
lg
o
rit
h
m
s
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
Ap
p
l
ica
ti
o
n
s
(
0
9
7
5
–
8
8
8
7
)
,
v
o
l.
1
7
4
(
2
)
,
S
e
p
2
0
1
7
[1
5
]
N.V
.
Ra
m
a
n
a
M
u
rt
y
a
n
d
P
r
o
f
.
M
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