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s
.
T
h
e
tech
n
iq
u
es
e
x
p
lo
r
ed
ar
e
d
if
f
er
en
tiated
in
to
f
ea
tu
r
e
s
elec
tio
n
[
7
]
-
[
1
4
]
,
w
ei
g
h
ti
n
g
[
1
5
]
-
[
1
7
]
an
d
MM
R
.
T
h
is
is
d
u
e
to
th
eir
s
i
m
p
lici
t
y
,
e
f
f
ec
t
iv
en
e
s
s
a
n
d
t
h
e
y
y
ield
r
elev
a
n
t
an
d
n
o
n
-
e
x
ag
g
er
ated
o
u
tp
u
ts
[
1
5
]
,
[
1
8
]
-
[
2
1
]
.
Vis
h
a
l
Gu
p
ta
[
9
]
u
s
ed
c
u
e
m
e
th
o
d
,
titl
e,
an
d
lo
ca
tio
n
s
e
n
te
n
ce
s
as
q
u
er
y
o
r
k
e
y
w
o
r
d
.
P
.
Y
Z
h
an
g
[
1
4
]
s
tated
th
at
t
h
e
s
elec
t
s
e
n
te
n
ce
u
s
ed
is
s
i
m
ilar
it
y
m
ea
s
u
r
e
b
et
w
e
en
s
e
n
ten
ce
s
,
w
o
r
d
f
o
r
m
s
i
m
ilar
it
y
,
w
o
r
d
o
r
d
er
s
i
m
ilar
it
y
,
w
o
r
d
s
e
m
an
t
ic
s
i
m
ilar
it
y
a
n
d
s
e
n
te
n
ce
s
i
m
ilar
it
y
.
D
h
ar
m
en
d
r
a
Hi
n
g
u
[
1
2
]
ex
p
lai
n
ed
t
h
at
t
h
e
f
ea
t
u
r
e
s
elec
tio
n
th
a
t
ca
n
b
e
u
s
ed
f
o
r
q
u
er
y
o
r
k
e
y
w
o
r
d
in
cl
u
d
es
r
elati
v
e
p
o
s
itio
n
o
f
s
e
n
te
n
ce
;
n
a
m
ed
e
n
titi
e
s
;
s
i
m
ilar
ities
w
it
h
o
th
er
s
en
te
n
c
es;
s
i
m
ilar
it
y
w
i
th
r
est
o
f
th
e
d
o
cu
m
e
n
t;
s
i
m
ilar
itie
s
w
i
th
o
t
h
er
s
e
n
te
n
ce
s
;
titl
e
r
elev
an
ce
;
r
elati
v
e
le
n
g
th
o
f
s
en
ten
ce
s
;
f
r
eq
u
en
c
y
o
f
w
o
r
d
;
citatio
n
an
d
n
u
m
er
ical
d
ata.
E
.
P
ad
m
alah
ar
i
[
7
]
an
d
P
.
Go
y
al
[
1
1
]
u
s
ed
a
co
m
b
in
at
io
n
o
f
s
ta
tis
tic
s
an
d
l
i
n
g
u
i
s
tic
s
.
Featu
r
e
s
u
s
ed
i
n
clu
d
e
ac
r
o
n
y
m
,
k
e
y
w
o
r
d
f
ea
t
u
r
es,
s
en
te
n
ce
p
o
s
itio
n
,
t
er
m
-
f
r
eq
u
e
n
c
y
,
le
n
g
th
o
f
t
h
e
w
o
r
d
,
p
ar
t
o
f
s
p
ee
ch
an
d
p
r
o
p
er
n
o
u
n
f
ea
tu
r
e,
p
r
o
n
o
u
n
s
.
R
ó
b
er
t
Mó
r
o
[
1
3
]
ex
p
lain
ed
t
h
at
th
e
p
ar
ag
r
ap
h
i
n
itial
lo
ca
tio
n
an
d
th
e
e
n
d
o
f
th
e
p
ar
ag
r
ap
h
h
a
v
e
an
i
m
p
o
r
tan
t
m
ea
n
i
n
g
,
d
u
e
to
th
e
i
n
f
o
r
m
atio
n
i
n
t
h
at
p
o
s
itio
n
h
as
a
p
o
s
itiv
e
v
a
lu
e
to
b
e
p
r
o
ce
s
s
ed
.
Ma
s
an
o
r
i
Ak
i
y
a
m
a
[
1
0
]
m
e
n
tio
n
ed
th
at
it ta
k
es
th
e
r
an
k
i
n
g
o
f
t
h
e
s
u
m
m
ar
y
r
e
s
u
l
ts
u
s
in
g
j
ac
q
u
ar
d
co
ef
f
icie
n
t.
Vah
d
a
n
i
[
2
2
]
,
ex
p
lain
s
th
at
u
n
i
m
p
o
r
ta
n
t
s
e
n
te
n
ce
s
ca
n
b
e
m
ea
s
u
r
e
d
f
r
o
m
th
e
n
u
m
b
er
o
f
o
cc
u
r
r
en
ce
s
i
n
th
e
ar
ticle.
R
esear
ch
er
m
e
n
tio
n
ed
t
h
at
f
r
eq
u
en
t
s
en
te
n
ce
s
ca
n
b
e
o
b
tain
ed
u
s
i
n
g
w
o
r
d
f
r
eq
u
e
n
c
y
ca
lc
u
latio
n
th
r
o
u
g
h
t
h
e
tf
-
id
f
m
et
h
o
d
.
Ho
w
e
v
er
,
t
h
e
r
esear
ch
er
d
id
n
o
t
m
e
n
tio
n
th
e
p
r
e
-
p
r
o
ce
s
s
in
g
s
tag
e
s
u
s
ed
a
n
d
d
id
n
o
t
m
en
tio
n
ad
d
itio
n
al
tech
n
iq
u
es
s
u
c
h
as
n
-
g
r
a
m
s
to
r
ed
u
ce
th
e
ca
lc
u
la
tio
n
er
r
o
r
s
o
f
th
e
tf
-
id
f
m
e
th
o
d
.
So
th
is
r
esear
ch
s
till
h
as
a
n
o
p
en
o
p
p
o
r
tu
n
it
y
f
o
r
i
m
p
r
o
v
ed
ev
al
u
atio
n
r
es
u
lt
.
Fa
u
zi
[
2
3
]
o
f
f
er
s
p
r
o
p
o
s
ed
f
ea
tu
r
e
s
elec
tio
n
u
tili
za
t
io
n
u
s
in
g
in
f
o
r
m
at
io
n
g
ain
a
n
d
MM
R
as
w
ell
as
co
m
b
in
e
s
i
n
f
o
r
m
atio
n
g
ai
n
a
n
d
MM
R
.
T
h
e
o
b
tain
e
d
o
u
tp
u
t
s
h
o
w
s
th
at
u
s
in
g
a
c
o
m
b
i
n
ed
in
f
o
r
m
a
tio
n
g
ai
n
a
n
d
MM
R
y
ield
s
8
6
%
.
L
i
u
[
2
4
]
co
n
d
u
cted
an
ex
p
lo
r
atio
n
to
g
et
i
m
p
o
r
tan
t
i
n
f
o
r
m
atio
n
f
r
o
m
th
e
r
ev
ie
w
r
e
s
u
lt
ca
lled
"
f
ea
tu
r
e
o
p
in
io
n
"
b
y
u
s
in
g
co
n
d
itio
n
a
l
r
an
d
o
m
f
ield
m
et
h
o
d
.
Featu
r
e
o
p
in
io
n
p
r
o
p
o
s
es
p
atter
n
s
in
C
h
in
e
s
e
lan
g
u
a
g
e
an
d
clas
s
if
ie
s
p
o
s
itiv
e
a
n
d
n
eg
at
iv
e
w
o
r
d
s
.
I
n
ad
d
itio
n
to
f
ea
t
u
r
e
s
elec
ti
o
n
,
ac
co
r
d
in
g
to
o
t
h
er
r
esear
ch
er
s
,
w
ei
g
h
ti
n
g
a
n
d
n
-
B
est
ar
e
n
o
t
th
e
least
i
m
p
o
r
ta
n
t
[
1
5
]
-
[
1
7
]
,
[
2
5
]
,
[
2
6
]
.
R
ez
a
Z
ae
f
ar
ia
n
u
tili
z
ed
w
ei
g
h
t
in
g
t
f
-
id
f
w
i
th
i
n
tr
i
n
s
ic
te
s
t
r
es
u
lts
o
f
60%
-
7
0
%.
Gab
r
iel
Mu
r
r
a
y
[
1
6
]
an
d
So
n
ia
Haid
u
c
[
2
7
]
co
m
p
ar
ed
s
o
m
e
w
eig
h
ti
n
g
s
s
u
c
h
a
s
t
f
-
id
f
,
r
esid
u
al
id
f
,
tf
,
g
a
in
,
a
n
d
s
u
-
id
f
.
Ot
h
er
s
tu
d
ies
ex
p
lo
r
ed
m
er
el
y
o
n
th
e
u
s
e
o
f
d
o
cu
m
en
t
f
r
eq
u
e
n
c
y
(
D
F).
T
h
e
r
esear
ch
er
s
s
aid
th
at
DF c
a
n
b
e
u
s
ed
as
f
e
atu
r
e
s
elec
tio
n
to
p
r
o
d
u
ce
r
ele
v
an
t i
n
f
o
r
m
atio
n
[
2
8
]
.
Sev
er
al
p
r
ev
io
u
s
s
t
u
d
ies
h
a
v
e
d
escr
ib
ed
f
ea
tu
r
e
s
elec
tio
n
an
d
f
ea
tu
r
e
s
u
g
g
e
s
tio
n
s
to
m
ain
tai
n
i
m
p
o
r
tan
t
s
e
n
te
n
ce
s
i
n
t
h
eir
s
u
m
m
ar
y
r
es
u
lts
.
Ho
w
e
v
er
,
f
r
o
m
s
e
v
er
al
s
t
u
d
ies
t
h
at
h
av
e
b
ee
n
av
ailab
le,
t
h
e
s
elec
tio
n
o
f
w
eig
h
t
a
n
d
n
-
B
est
v
alu
e
d
id
n
o
t
m
e
n
tio
n
ed
t
h
e
b
est
r
esu
lt
s
.
T
h
er
ef
o
r
e,
th
is
s
t
u
d
y
w
il
l
p
r
esen
t
t
h
e
r
esu
lt
s
o
f
n
-
B
est
v
alu
e
ex
p
lo
r
atio
n
i
n
t
h
e
s
u
m
m
ar
y
s
y
s
te
m
.
I
n
ad
d
itio
n
,
th
i
s
r
esear
c
h
also
ex
p
lo
r
es
m
u
lti
-
f
ea
t
u
r
e
s
elec
tio
n
co
n
s
i
s
ti
n
g
o
f
n
-
B
est
w
eig
h
ti
n
g
v
al
u
e
m
et
h
o
d
,
f
ea
tu
r
e
s
elec
tio
n
co
m
b
in
a
t
io
n
,
an
d
co
m
b
in
ed
f
ea
t
u
r
e
s
elec
tio
n
co
m
b
i
n
atio
n
w
it
h
w
o
r
d
lev
e
l
ca
te
g
o
r
y
in
m
ed
ical
co
n
te
n
t.
O
v
er
all,
th
is
s
t
u
d
y
ai
m
s
to
co
n
tr
ib
u
te
as
f
o
llo
w
s
:
a.
Gen
er
ate
th
e
m
o
s
t a
p
p
r
o
p
r
iate
n
-
B
est
v
al
u
e
f
o
r
th
e
s
u
m
m
ar
y
s
y
s
te
m
i
n
I
n
d
o
n
e
s
ia
n
m
ed
ical
ar
ticles;
b.
P
r
o
d
u
ce
ch
ar
ac
ter
is
tic
a
n
al
y
s
i
s
f
o
r
f
ea
t
u
r
e
s
elec
tio
n
co
m
b
in
atio
n
i
n
s
u
m
m
ar
y
s
y
s
te
m
;
c.
P
r
o
v
id
e
a
lis
t
o
f
s
e
n
ten
ce
p
atter
n
s
co
n
s
i
s
ti
n
g
o
f
co
r
e
s
e
n
t
en
ce
s
,
e
x
p
lan
ato
r
y
s
e
n
te
n
ce
s
an
d
s
u
p
p
o
r
tin
g
s
en
te
n
ce
s
.
T
h
e
co
m
p
o
s
itio
n
o
f
w
r
iti
n
g
i
n
t
h
i
s
s
tu
d
y
i
s
p
r
ese
n
ted
as
f
o
llo
w
s
:
T
h
e
m
ater
ials
a
n
d
m
e
th
o
d
s
w
er
e
d
escr
ib
ed
in
Sectio
n
2
.
I
n
Sec
tio
n
3
,
d
escr
ib
ed
th
e
r
es
u
lt
a
n
d
an
al
y
s
is
o
f
t
h
e
r
esear
c
h
.
I
n
Sectio
n
4
,
d
escr
ib
ed
th
e
co
n
cl
u
s
io
n
o
f
t
h
e
r
esear
ch
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
i
s
s
h
o
w
n
in
F
i
g
u
r
e
1
.
T
h
e
u
s
ed
s
u
m
m
ar
y
s
y
s
te
m
u
ti
lized
an
ex
tr
ac
ti
v
e
tech
n
iq
u
e
w
h
ic
h
is
b
ased
o
n
s
t
atis
tic
o
r
f
r
eq
u
e
n
c
y
.
T
h
e
p
u
r
p
o
s
e
o
f
ap
p
l
y
i
n
g
e
x
tr
ac
ti
v
e
ap
p
r
o
ac
h
is
to
p
r
eser
v
e
m
es
s
ag
e
s
co
n
v
e
y
ed
b
y
t
h
e
au
t
h
o
r
o
f
th
e
ar
ticle.
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:
2
0
8
8
-
8708
E
n
h
a
n
ci
n
g
P
erfo
r
ma
n
ce
in
Med
ica
l A
r
ticles S
u
mma
r
iz
a
tio
n
w
ith
Mu
lti
-
F
ea
tu
r
e
S
elec
tio
n
(
S
u
s
etyo
B
a
g
a
s
B
)
2301
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F
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it
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2088
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8708
I
n
t J
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&
C
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m
p
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g
,
Vo
l.
8
,
No
.
4
,
A
u
g
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s
t 2
0
1
8
:
2
2
9
9
–
2
3
09
2302
an
d
ap
p
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o
p
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iate
s
u
m
m
ar
y
.
W
h
er
e
N
(
t)
is
t
h
e
n
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m
b
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f
w
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d
s
(
t
)
,
w
h
ile
is
p
r
e
-
p
r
o
ce
s
s
i
n
g
,
an
d
k
is
th
e
tit
l
e
k
e
y
w
o
r
d
.
(
)
(
)
⁄
(
1
)
2
.
1
.
2
.
F
ea
t
ure
s
elec
t
io
n o
f
no
un
I
t
u
s
es
n
o
u
n
f
ea
tu
r
e
to
s
er
v
e
as
q
u
er
y
o
r
k
e
y
w
o
r
d
.
T
h
e
u
s
e
o
f
n
o
u
n
is
d
u
e
to
m
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n
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n
g
f
o
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m
atio
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o
f
th
e
s
e
n
te
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ce
s
ar
e
d
er
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ed
f
r
o
m
co
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ctio
n
o
f
v
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b
s
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r
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n
s
.
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h
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e
N
(
t)
i
s
th
e
n
u
m
b
er
o
f
w
o
r
d
s
(
t)
,
w
h
ile
is
p
r
e
-
p
r
o
ce
s
s
in
g
,
an
d
is
w
o
r
d
s
co
m
p
ar
ed
to
lis
t o
f
w
o
r
d
s
i
n
(
n
)
.
I
f
,
th
en
is
o
m
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.
(
)
∑
(
|
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(
2
)
2
.
1
.
3
.
F
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t
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s
elec
t
io
n sta
t
is
t
ic
nu
m
b
er
o
f
w
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rd
o
cc
urence
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t
u
s
e
s
s
tat
is
tic
n
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m
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f
w
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r
d
o
cc
u
r
en
ce
f
ea
tu
r
e
to
b
e
q
u
er
y
o
r
k
e
y
w
o
r
d
.
T
h
e
u
s
e
o
f
t
h
i
s
f
ea
t
u
r
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is
o
n
th
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a
s
s
u
m
p
tio
n
t
h
at
s
tat
is
t
ic
n
u
m
b
er
o
f
w
o
r
d
o
cc
u
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en
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is
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co
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cl
u
s
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n
f
r
o
m
th
e
co
r
e
d
is
cu
s
s
io
n
i
n
t
h
e
ar
ticle.
W
h
er
e
N
(
t)
is
t
h
e
n
u
m
b
er
o
f
w
o
r
d
s
(
t)
,
w
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is
p
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-
p
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s
s
in
g
,
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d
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w
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s
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to
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.
I
f
<
m
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,
th
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ti i
s
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m
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.
(
)
∑
(
(
)
)
(
3
)
2
.
1
.
4
.
F
ea
t
ure
s
elec
t
io
n w
o
rd
r
a
ng
e
I
t u
s
es
w
o
r
d
r
an
g
e
f
ea
tu
r
e
to
b
e
a
q
u
er
y
o
r
k
e
y
w
o
r
d
.
T
h
e
u
s
e
o
f
th
i
s
f
ea
tu
r
e
i
s
o
n
t
h
e
as
s
u
m
p
tio
n
th
a
t
w
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r
d
r
an
g
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is
a
u
n
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q
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y
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k
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y
w
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to
d
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d
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s
s
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h
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ticle.
W
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N
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t)
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s
t
h
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n
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m
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w
o
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t
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s
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ce
s
s
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,
an
d
is
w
o
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d
s
co
m
p
ar
ed
to
m
a
x
.
(
)
∑
(
(
)
(
)
)
(
4
)
2.
1
.
5
.
F
ea
t
ure
s
elec
t
io
n sta
t
is
t
ic
nu
m
b
er
o
f
w
o
rd
a
nd
no
un
o
cc
urre
nce
I
t u
s
es
s
tatis
tic
n
u
m
b
er
o
f
w
o
r
d
an
d
n
o
u
n
o
cc
u
r
an
ce
f
ea
tu
r
e
to
b
e
q
u
er
y
o
r
k
e
y
w
o
r
d
.
(
)
∑
(
|
)
(
(
)
(
)
)
(
5
)
2
.
1
.
6
.
F
ea
t
ure
s
elec
t
io
n sta
t
is
t
ic
nu
m
b
er
o
f
w
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r
d a
nd
t
it
le
o
cc
urre
nce
I
t u
s
es
s
tatis
tic
n
u
m
b
er
o
f
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d
an
d
titl
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cc
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f
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er
y
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y
w
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r
d
.
(
)
∑
(
)
(
(
)
(
)
)
(
6
)
2
.
2
.
Weig
hting
I
n
ad
d
itio
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to
f
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ti
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th
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d
y
h
a
s
also
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p
l
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w
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ti
n
g
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t
f
-
id
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w
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h
as
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s
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b
y
m
a
n
y
r
esear
c
h
er
s
[
1
5
]
,
[
2
4
]
an
d
th
e
o
b
tain
ed
r
e
s
u
lt
i
s
q
u
ite
g
o
o
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Ho
w
e
v
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s
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m
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l
y
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ti
n
g
t
f
.
T
f
w
ei
g
t
h
is
u
s
ed
to
ca
lcu
l
ate
f
r
eq
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en
c
y
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f
w
o
r
d
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cc
u
r
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ce
f
r
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m
t
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n
tire
d
o
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m
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n
t.
T
h
e
m
o
r
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t
h
e
f
r
eq
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e
n
c
y
o
f
o
cc
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r
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en
ce
o
f
t
h
e
w
o
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d
,
th
e
h
i
g
h
er
th
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v
al
u
e
o
f
th
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w
ei
g
h
t.
T
h
is
s
t
u
d
y
u
s
ed
m
m
r
m
et
h
o
d
f
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r
s
u
m
m
ar
y
s
y
s
te
m
a
s
s
ee
n
in
t
h
e
E
q
u
atio
n
(
7
)
.
(
)
(
)
(
)
(
)
(
7
)
W
h
er
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d
is
a
n
ar
ticle
in
th
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v
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to
r
f
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,
a
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te
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ex
tr
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cted
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m
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tp
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Si
m
1
a
n
d
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im
2
ar
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u
s
ed
to
ca
lcu
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th
e
s
i
m
ilar
it
y
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l
f
r
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m
t
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ticle
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P
ar
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v
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B
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0
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4
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0
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6
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7
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0
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8
.
Me
an
w
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ile,
th
e
s
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m
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tec
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iq
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A
tec
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er
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k
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w
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o
f
th
e
ar
tic
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e
is
j
ac
ca
r
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co
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f
icie
n
t.
Data
s
et
u
s
ed
i
n
t
h
is
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esear
c
h
is
a
s
m
u
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h
as
7
,
3
4
6
p
iece
s
o
f
m
ed
ical
ar
ticle.
T
h
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am
o
u
n
t
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ata
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w
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m
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p
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ca
teg
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d
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co
m
an
d
k
o
m
p
as.c
o
m
.
B
ased
o
n
f
i
g
u
r
e
2
,
t
h
e
d
ata
s
et
w
ill
b
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p
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an
d
co
m
b
in
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s
in
g
f
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r
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s
elec
tio
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an
d
w
eig
h
ti
n
g
.
T
h
e
n
u
m
b
er
o
f
co
m
b
i
n
atio
n
s
is
1
8
p
air
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
C
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p
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I
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2
0
8
8
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P
erfo
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ma
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in
Med
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r
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iz
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tio
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w
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Mu
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(
S
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s
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s
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)
2303
*
|
+
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|
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(
8
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I
n
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d
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an
o
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to
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as 0
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4
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6
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7
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.
8
.
2
.
3
.
Wo
rd
lev
el
ca
t
eg
o
r
y
in
m
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ca
l c
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nt
T
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an
u
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h
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v
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if
ic
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s
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ac
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g
ap
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i
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b
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s
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n
as
a
class
i
f
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p
r
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b
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m
.
Fu
r
t
h
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m
o
r
e,
class
i
f
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i
s
d
o
n
e
b
y
d
iv
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in
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s
u
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ar
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lts
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to
th
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ee
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teg
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ies
o
f
w
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s
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m
e
d
ical
co
n
ten
t.
W
o
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d
lev
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ca
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p
atter
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i
n
m
ed
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e
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f
t
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to
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in
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ta
n
t
p
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ase
s
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n
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e
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ed
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ar
ticles.
T
ab
le
2
.
W
o
r
d
L
ev
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C
ateg
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r
y
i
n
Me
d
ical
C
o
n
te
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t
C
o
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n
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a
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n
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s→
[
{
d
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scri
p
t
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o
n
},
{s
y
mp
t
o
m}
,
{d
i
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se
},
{ca
u
se
},
{e
f
f
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c
t
}]
S
e
n
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n
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→
[
(
{n
u
m
b
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},
{o
b
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}
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{e
x
a
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]
se
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e
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[
{
c
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t
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t
i
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n
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,
{e
x
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l
a
mat
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o
n
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t
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]
2
.
4
.
E
v
a
lua
t
io
n
T
h
e
ev
alu
atio
n
t
h
at
w
a
s
co
n
d
u
cted
is
d
iv
id
ed
in
to
t
w
o
ca
teg
o
r
ies;
in
tr
i
n
s
ic
ev
al
u
atio
n
w
h
ich
is
class
i
f
icatio
n
test
r
es
u
lt
f
o
r
t
h
e
w
o
r
d
ca
te
g
o
r
y
in
t
h
e
m
ed
ical
co
n
ten
t
p
er
f
o
r
m
ed
b
y
th
e
s
y
s
te
m
u
s
in
g
t
h
e
m
u
lti
n
o
m
ial
n
aï
v
e
b
ay
e
s
m
et
h
o
d
.
A
n
o
th
er
test
is
a
n
ex
tr
i
n
s
i
c
ev
alu
atio
n
w
h
ic
h
is
t
h
e
ev
al
u
atio
n
o
f
te
s
t
r
esu
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t
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th
e
co
n
f
o
r
m
it
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o
f
th
e
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u
tp
u
ts
f
r
o
m
th
e
s
y
s
te
m
j
u
d
g
ed
b
y
th
e
ex
p
er
t
d
ec
is
io
n
.
P
ar
ticu
lar
l
y
f
o
r
th
e
ex
tr
i
n
s
ic
ev
alu
a
tio
n
,
ex
p
er
t
h
as
d
i
f
f
er
e
n
t
b
ac
k
g
r
o
u
n
d
s
,
s
u
c
h
as:
(
E
I
)
B
io
lo
g
ical;
(
E
2
)
I
n
f
o
r
m
a
tics
;
(
E
3
)
L
in
g
u
i
s
tic;
an
d
(
E
4
)
Hu
m
an
io
r
a.
T
h
e
ex
is
te
n
ce
o
f
th
e
e
x
p
er
t
is
d
iv
id
ed
in
to
t
w
o
f
u
n
c
tio
n
s
.
T
h
e
f
ir
s
t
f
u
n
ctio
n
i
s
t
h
e
ex
p
er
t
s
er
v
es
a
s
a
clas
s
i
f
icatio
n
m
a
k
er
f
o
r
t
h
e
wo
r
d
ca
teg
o
r
y
le
v
el
i
n
m
ed
ical
co
n
ten
t
as
in
T
ab
le
2
.
T
h
e
s
ec
o
n
d
f
u
n
c
tio
n
is
th
e
ex
p
er
t
as
t
h
e
e
v
al
u
ato
r
,
i.e
.
,
th
e
s
u
b
j
ec
tiv
e
as
s
i
g
n
m
e
n
t
to
t
h
e
co
n
f
o
r
m
it
y
o
f
th
e
s
u
m
m
ar
y
r
esu
lt
g
e
n
er
ated
b
y
th
e
s
u
m
m
ar
y
s
y
s
te
m
.
T
h
e
ev
a
lu
atio
n
p
ar
a
m
eter
g
i
v
e
n
b
y
t
h
e
ex
p
er
t
f
o
r
s
u
m
m
ar
y
r
es
u
lt
ar
e
g
r
o
u
p
ed
in
to
f
i
v
e
ca
teg
o
r
ies:
(
a)
Sco
r
e
1
if
t
h
e
s
u
m
m
ar
y
i
s
n
o
t r
ele
v
an
t
; (
b
)
Sc
o
r
e
2
if
t
h
e
s
u
m
m
ar
y
i
s
le
s
s
ac
ce
p
ted
; (
c)
Sco
r
e
3
if
th
e
s
u
m
m
ar
y
r
esu
l
t
is
q
u
ite
ac
ce
p
tab
le;
(
d
)
Sco
r
e
4
if
th
e
s
u
m
m
ar
y
r
es
u
lt
is
ac
ce
p
ted
;
an
d
(
e)
Sco
r
e
5
if
th
e
s
u
m
m
ar
y
r
esu
lt
i
s
g
r
ea
tl
y
ac
c
ep
ted
.
P
er
ce
n
tag
e
v
al
u
e
o
f
t
h
e
ev
al
u
atio
n
r
es
u
lts
as
b
elo
w
:
(
1
)
0
%
-
1
9
,
9
9
%
is
s
tr
o
n
g
l
y
d
is
a
g
r
ee
,
(
2
)
2
0
%
-
3
9
,
9
9
%
is
d
is
ag
r
ee
,
(
3
)
4
0
%
-
5
9
,
9
9
%
is
b
o
r
d
er
ag
r
ee
,
(
4
)
6
0
%
-
7
9
,
9
9
%
is
ag
r
ee
,
(
5
)
8
0
%
-
1
0
0
% is
s
tr
o
n
g
l
y
a
g
r
ee
.
3.
RE
SU
L
T
AND
ANA
L
YS
I
S
T
h
is
s
tu
d
y
e
x
tr
ac
ted
ar
ticles
in
th
e
ca
te
g
o
r
y
o
f
a
co
ar
s
e
-
g
r
ain
ed
ap
p
r
o
ac
h
an
al
y
s
i
s
,
th
e
r
ef
o
r
e
th
e
d
ataset
u
s
ed
d
er
iv
ed
f
r
o
m
o
n
lin
e
m
ed
ical
n
e
w
s
w
it
h
p
ar
ti
cu
lar
to
p
ics
w
as
a
r
e
m
ar
k
ab
l
e
o
cc
u
r
r
en
ce
.
On
e
ex
a
m
p
le
o
f
n
e
w
s
s
o
u
r
ce
s
u
s
ed
in
th
is
s
t
u
d
y
i
s
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
B
ased
o
n
Fi
g
u
r
e
2
,
th
e
n
u
m
b
er
o
f
w
o
r
d
s
i
n
th
e
ar
ticle
i
s
a
m
o
u
n
ted
to
3
0
5
,
an
d
th
e
i
m
p
o
r
tan
t
s
en
te
n
ce
o
b
tain
ed
m
a
n
u
a
ll
y
a
n
d
m
ad
e
n
e
w
k
n
o
w
led
g
e
i
s
a
m
o
u
n
ted
to
1
0
2
.
T
h
er
e
ar
e
a
b
o
u
t
3
3
%
im
p
o
r
tan
t
i
n
f
o
r
m
at
i
o
n
th
at
m
u
s
t
ap
p
ea
r
in
th
e
ar
ticle
to
m
a
k
e
n
e
w
k
n
o
w
led
g
e.
So
m
e
i
m
p
o
r
ta
n
t se
n
ten
ce
s
t
h
at
ca
n
b
e
u
s
ed
as n
e
w
k
n
o
w
led
g
e
o
f
th
e
ar
ticles co
n
tain
ed
i
n
F
ig
u
r
e
2
in
c
lu
d
e:
1.
Hea
d
o
f
Hea
lt
h
Ser
v
ice
o
f
T
e
m
an
g
g
u
n
g
R
e
g
e
n
c
y
,
Su
p
ar
j
o
s
aid
d
ata
o
f
d
iar
r
h
ea
p
atien
ts
i
n
Sig
ed
o
n
g
Villag
e
u
n
til t
h
is
m
o
r
n
i
n
g
r
ea
c
h
ed
6
4
p
eo
p
le
.
2.
He
s
aid
th
er
e
w
as
a
d
ea
d
v
ict
i
m
f
r
o
m
t
h
e
o
u
tb
r
ea
k
ca
s
e
.
T
h
e
v
icti
m
is
7
5
y
ea
r
s
o
ld
,
b
esid
es
d
iar
r
h
ea
,
h
e
also
s
u
f
f
er
s
f
r
o
m
h
y
p
er
ten
s
io
n
.
3.
Ho
w
e
v
er
,
h
e
s
aid
it
w
as
alle
g
ed
ly
b
ec
a
u
s
e
t
h
e
w
ater
co
n
s
u
m
ed
b
y
s
o
ciet
y
a
n
d
is
c
u
r
r
en
tl
y
s
til
l
u
n
d
er
th
e
r
esear
ch
.
4.
T
em
an
g
g
u
n
g
Hea
lt
h
Of
f
ice
h
a
s
estab
lis
h
ed
a
p
o
s
t in
th
e
v
illa
g
e
w
h
ich
o
p
en
s
2
4
h
o
u
r
s
.
5.
He
also
s
o
cialize
d
to
th
e
co
m
m
u
n
it
y
to
i
m
p
le
m
e
n
t c
lea
n
an
d
h
ea
lth
y
li
f
e
.
6.
I
n
ad
d
itio
n
,
ch
lo
r
in
e
d
i
s
p
er
s
i
o
n
is
d
is
tr
ib
u
ted
in
t
h
e
s
p
r
in
g
an
d
w
a
ter
r
eser
v
o
ir
to
r
ed
u
ce
th
e
n
u
m
b
er
o
f
b
ac
ter
ia
an
d
g
er
m
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
4
,
A
u
g
u
s
t 2
0
1
8
:
2
2
9
9
–
2
3
09
2304
Fig
u
r
e
2
.
E
x
tr
ao
r
d
in
ar
y
ev
e
n
ts
in
f
o
r
m
atio
n
f
r
o
m
o
n
li
n
e
m
ed
ical
ar
ticles
1
T
h
e
im
p
o
r
tan
t
s
en
te
n
ce
i
s
n
o
t
o
n
l
y
g
en
er
ated
f
r
o
m
th
e
r
a
n
k
i
n
g
o
f
w
o
r
d
f
r
eq
u
e
n
c
y
th
at
ap
p
ea
r
s
in
th
e
ar
ticle,
b
u
t
f
r
o
m
th
e
ca
lc
u
lati
o
n
o
f
th
e
ex
is
ti
n
g
i
m
p
o
r
tan
t
w
o
r
d
s
i
n
ea
c
h
p
ar
ag
r
ap
h
.
T
h
e
t
y
p
ical
I
n
d
o
n
es
ia
n
ar
ticle
w
r
iti
n
g
p
atter
n
is
u
s
u
al
l
y
d
o
n
e
f
r
o
m
a
g
en
er
al
d
escr
i
p
tio
n
at
th
e
b
eg
in
n
in
g
o
f
th
e
p
ar
ag
r
ap
h
,
f
o
llo
w
ed
b
y
s
u
p
p
o
r
tin
g
s
e
n
ten
ce
s
lo
ca
t
ed
in
t
h
e
m
id
d
le
o
f
t
h
e
s
to
r
y
co
n
ten
t
o
f
th
e
ar
ticle.
T
h
e
l
ast
d
is
c
u
s
s
io
n
tell
s
ab
o
u
t
th
e
co
n
cl
u
s
io
n
in
t
h
e
f
o
r
m
o
f
a
s
o
l
u
tio
n
.
E
ac
h
i
m
p
o
r
tan
t
s
e
n
ten
ce
i
n
ea
c
h
p
ar
ag
r
ap
h
w
i
ll
h
a
v
e
a
co
n
n
ec
tio
n
to
th
e
o
th
er
s
en
ten
ce
s
in
d
if
f
er
e
n
t
p
ar
ag
r
ap
h
s
.
T
h
er
e
ar
e
s
ev
er
al
d
ep
en
d
en
cie
s
b
et
w
ee
n
ex
p
lan
ato
r
y
a
n
d
ex
p
lai
n
ed
s
en
ten
ce
s
o
r
s
en
te
n
ce
s
t
h
at
p
r
o
v
id
e
in
f
o
r
m
atio
n
o
n
ca
u
s
es
a
n
d
s
en
te
n
ce
s
t
h
at
ex
p
lain
t
h
e
r
esu
lt
s
.
Fo
r
ex
a
m
p
le,
th
e
s
en
te
n
ce
co
n
tain
ed
i
n
n
u
m
b
er
1
h
as
a
r
elatio
n
s
h
i
p
w
ith
t
h
e
s
en
ten
ce
co
n
tain
ed
i
n
n
u
m
b
er
2
(
d
iar
r
h
ea
p
atien
t
-
t
h
er
e
is
a
d
ea
d
v
ic
ti
m
f
r
o
m
t
h
e
o
u
tb
r
ea
k
ca
s
e
)
.
Sen
te
n
ce
n
u
m
b
er
1
also
s
till
h
a
s
a
r
elatio
n
s
h
ip
w
i
th
t
h
e
s
e
n
te
n
ce
co
n
tain
ed
i
n
n
u
m
b
er
3
(
d
iar
r
h
ea
p
atie
n
t
-
al
leg
ed
l
y
b
ec
a
u
s
e
o
f
th
e
co
n
s
u
m
ed
w
ater
)
.
Sen
te
n
ce
in
th
e
n
u
m
b
er
1
s
till
h
as
a
r
e
latio
n
s
h
ip
w
i
th
t
h
e
s
en
t
en
ce
co
n
tain
ed
i
n
n
u
m
b
er
4
(
Sig
ed
o
n
g
Villa
g
e
-
E
s
tab
lis
h
P
o
s
k
o
).
T
h
er
ef
o
r
e
th
is
s
t
u
d
y
d
i
v
id
es
th
e
d
is
c
u
s
s
io
n
ca
te
g
o
r
y
i
n
ea
ch
ar
ticle
in
to
th
r
ee
p
ar
ts
,
as
s
ee
n
i
n
T
ab
le
2
.
E
ac
h
ca
teg
o
r
y
in
T
ab
le
2
p
r
o
v
id
es
an
o
v
er
v
ie
w
t
h
at
t
h
e
d
is
cu
s
s
io
n
i
n
ea
ch
p
a
r
ag
r
ap
h
co
n
s
i
s
ts
o
f
p
atter
n
s
o
f
w
o
r
d
s
th
at
d
escr
ib
e
i
m
p
o
r
tan
t se
n
te
n
ce
s
i
n
th
e
ar
t
icle.
3
.
1
.
T
est
o
n n
-
bes
t
a
nd
w
eig
hting
v
a
lue
T
h
e
s
u
m
m
ar
y
m
et
h
o
d
u
s
ed
i
s
th
e
MM
R
w
i
th
th
e
e
x
p
lo
r
ed
n
-
B
est
v
alu
e
is
0
.
4
;
0
.
6
;
0
.
7
;
0
.
8
.
T
est
r
esu
lt
f
r
o
m
t
h
e
n
-
B
est
v
al
u
e
s
in
cl
u
d
es:
(
1
)
th
e
v
alu
e
o
f
n
-
B
est
0
.
4
g
ets
a
m
o
r
e
co
n
cise
s
u
m
m
ar
y
,
b
u
t
w
o
r
k
s
w
ell
o
n
l
y
i
n
ar
ticles
th
at
ar
e
le
s
s
t
h
an
2
0
0
w
o
r
d
s
.
(
2
)
T
h
e
v
al
u
e
o
f
n
-
B
est
0
.
6
g
ets
ir
r
elev
a
n
t
s
u
m
m
ar
y
r
e
s
u
l
ts
,
th
er
e
is
a
lo
t
o
f
am
b
i
g
u
o
u
s
in
f
o
r
m
atio
n
.
(
3
)
T
h
e
v
alu
e
o
f
n
-
B
est
0
.
7
o
b
tain
s
a
m
o
r
e
ac
ce
p
tab
le
an
d
r
elev
an
t
s
u
m
m
ar
y
r
e
s
u
l
t
w
it
h
m
a
n
u
al
s
u
m
m
ar
izi
n
g
ac
ti
v
itie
s
.
(
4
)
T
h
e
v
al
u
e
o
f
n
-
B
est
0
.
8
r
esu
lt
i
s
i
r
r
elev
an
t
s
u
m
m
ar
y
an
d
th
er
e
ar
e
m
an
y
s
en
te
n
ce
s
t
h
at
t
u
r
n
ed
to
b
e
elu
s
i
v
e.
T
ab
le
3
an
d
Fi
g
u
r
e
3
d
is
p
la
y
t
h
e
r
es
u
lts
o
f
co
m
p
ar
i
s
o
n
o
f
th
e
u
s
e
o
f
n
-
B
est v
al
u
e
.
Fig
u
r
e
3
.
Gr
ap
h
ic
o
f
n
-
B
est C
o
m
p
ar
is
o
n
T
ab
le
3
.
C
o
m
p
ar
is
o
n
o
f
n
-
B
es
t V
alu
e
n
=
0
,
7
n
=
0
,
8
n
=
0
,
4
n
=
0
,
6
0
.
3
6
0
.
4
8
0
.
4
2
0
.
2
4
-
0
.
0
0
4
0
.
1
7
8
0
.
0
8
7
-
0
.
1
8
6
-
0
.
0
1
8
0
.
0
6
8
0
.
1
0
6
-
0
.
0
0
6
-
0
.
0
5
3
0
.
0
1
8
-
0
.
1
2
2
-
0
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2
8
8
-
0
.
1
4
2
-
0
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0
0
6
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0
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1
4
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0
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2
9
6
0
.
2
3
4
0
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7
3
8
0
.
2
5
8
-
0
.
5
3
6
Fig
u
r
e
3
s
h
o
w
s
a
co
m
p
ar
is
o
n
g
r
ap
h
o
f
th
e
n
-
B
est
v
a
lu
e
i
n
a
tex
t
s
u
m
m
ar
y
s
tu
d
y
.
T
est
r
esu
lt
b
ased
o
n
th
e
u
tili
za
tio
n
o
f
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g
h
ts
s
h
o
w
n
i
n
T
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le
4
.
1
h
t
t
p
s:
/
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l
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.
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.
c
o
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1
7
/
0
8
/
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/
4
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1
/
1
7
5
2
5
1
9
/
d
e
sa
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man
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n
g
-
k
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k
o
r
b
a
n
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me
n
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n
g
g
a
l
-
d
u
n
i
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
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n
g
I
SS
N:
2
0
8
8
-
8708
E
n
h
a
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P
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ma
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in
Med
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r
iz
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w
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s
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g
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)
2305
T
ab
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4
.
R
esu
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o
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7
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u
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ased
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a
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4
a
b
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if
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m
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ar
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r
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6
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6
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d
in
m
ed
ic
al
ar
ticles.
P
s
eu
d
o
C
o
d
e
N
aïv
e
B
ay
e
s
Mu
ltin
o
m
ial
f
o
r
T
h
e
C
lass
i
f
icatio
n
o
f
Se
n
te
n
ce
Stru
ct
u
r
e
1:
C
alcu
late
t
h
e
n
aï
v
e
b
a
y
e
s
m
u
lti
n
o
m
ia
l
to
f
in
d
t
h
e
ca
teg
o
r
y
o
f
s
e
n
te
n
ce
f
r
o
m
ea
c
h
test
s
e
n
te
n
ce
b
y
ca
lcu
lati
n
g
th
e
p
r
o
b
ab
ilit
y
o
f
e
ac
h
w
o
r
d
t
y
p
e
f
r
o
m
t
h
e
t
y
p
e
o
f
w
o
r
d
f
o
u
n
d
i
n
th
e
te
s
t
s
e
n
t
en
ce
w
it
h
ea
ch
t
y
p
e
o
f
w
o
r
d
i
n
th
e
tr
ai
n
i
n
g
d
a
ta
s
en
te
n
ce
.
2
:
L
o
o
p
in
g
b
ased
o
n
test
s
e
n
t
en
ce
a.
C
alcu
late
th
e
p
r
o
b
ab
ilit
y
o
f
ea
ch
w
o
r
d
t
y
p
e
i
n
th
e
te
s
t se
n
te
n
ce
ag
ain
s
t t
h
e
t
y
p
e
f
o
r
m
i
n
g
ea
ch
s
en
te
n
ce
ca
te
g
o
r
y
b
y
u
s
i
n
g
n
aï
v
e
b
a
y
es
m
u
lti
n
o
m
ia
l.
b.
Fin
d
t
h
e
lar
g
est
v
al
u
e
o
f
ca
lc
u
latio
n
o
u
tp
u
t in
ea
c
h
w
o
r
d
t
y
p
e
f
o
r
m
atio
n
a
g
ai
n
s
t t
h
e
ca
te
g
o
r
y
o
f
s
en
te
n
ce
s
u
n
d
er
ca
lc
u
latio
n
.
c.
T
h
e
f
o
r
m
a
tio
n
o
f
t
h
e
w
o
r
d
t
y
p
e
ag
ain
s
t t
h
e
ca
teg
o
r
y
o
f
s
en
te
n
ce
w
it
h
th
e
lar
g
est
v
a
l
u
e
is
e
n
ter
ed
in
to
th
e
d
atab
ase.
Data
e
n
ter
ed
in
to
ar
e
(
s
en
ten
ce
,
s
et
o
f
w
o
r
d
ty
p
e
o
n
ea
ch
w
o
r
d
in
s
e
n
te
n
ce
,
s
en
te
n
ce
ca
te
g
o
r
y
)
.
en
d
T
ab
le
8
s
h
o
w
s
t
h
e
s
u
m
m
ar
y
r
esu
l
t
b
y
co
m
b
i
n
i
n
g
f
ea
tu
r
e
s
elec
tio
n
w
i
th
w
o
r
d
ca
teg
o
r
y
le
v
el
in
m
ed
ical
co
n
te
n
t.
E
x
p
ec
ted
o
u
tp
u
t
is
m
ai
n
tai
n
i
n
g
i
m
p
o
r
tan
t
s
en
ten
ce
s
b
y
f
o
llo
w
i
n
g
th
e
p
at
ter
n
s
in
ea
c
h
clas
s
o
f
w
o
r
d
ca
teg
o
r
y
le
v
el
i
n
m
ed
ical
co
n
ten
t.
T
ab
le
8
.
R
esu
lt
o
f
Feat
u
r
e
Sel
ec
tio
n
C
o
m
b
i
n
atio
n
+
W
o
r
d
L
ev
el
C
ate
g
o
r
y
C
las
s
if
icatio
n
i
n
Me
d
ical
C
o
n
ten
t
No
M
e
d
i
c
a
l
T
e
x
t
C
l
a
s
s
i
f
i
c
a
t
i
o
n
C
l
a
s
s
1
P
o
l
y
p
h
a
g
i
a
i
s o
n
e
o
f
t
h
r
e
e
sy
mp
t
o
ms’
d
i
a
b
e
t
i
c
d
i
se
a
se
Ex
p
l
a
n
a
t
o
r
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se
n
t
e
n
c
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s
2
A
l
mo
st
p
e
o
p
l
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d
o
e
sn
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r
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a
b
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t
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sy
mp
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u
p
p
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se
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t
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s
3
S
o
me
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mu
st
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w
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r
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a
b
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u
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so
me
sy
mp
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l
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k
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f
r
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q
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c
y
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4
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5
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p
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h
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a
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T
ab
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.
T
h
e
C
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Fig
u
r
e
5
.
C
o
m
p
ar
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s
o
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f
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t
u
r
e
s
elec
tio
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3
.
5
.
E
v
a
lua
t
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n
E
v
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a
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is
d
iv
id
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in
to
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ca
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ies,
n
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x
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ch
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a
s
s
e
v
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al
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les:
(
1
)
d
ete
r
m
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at
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t
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ar
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ticle;
(
2
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s
m
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n
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all
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(
3
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s
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n
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s
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tio
n
s
w
it
h
wo
r
d
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r
y
le
v
el
i
n
m
ed
ical
co
n
te
n
t.
T
h
e
r
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lts
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ed
f
r
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m
t
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e
ex
tr
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n
s
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c
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h
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ie
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ed
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n
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h
e
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ar
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h
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t
h
e
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is
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r
ee
.
T
ab
le
1
0
.
First
Scen
ar
io
o
f
E
x
tr
in
s
ic
S
u
p
er
v
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s
ed
T
est
a
b
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6
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1
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1
6
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6
0
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11
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8
3
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9
10
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2
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7
4
1
N
o
t
e
:
(
a
)
S
u
m
m
a
ry
b
y
T
h
e
Ex
p
e
r
t
i
se;
(
b
)
S
u
m
m
a
r
y
b
y
S
y
s
t
e
m
;
(
c
)
S
u
i
t
a
b
l
e
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tech
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iq
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RE
F
E
R
E
NC
E
S
[1
]
S
.
A
k
b
a
r,
L
.
S
lau
g
h
ter,
a
n
d
Ø.
N
y
tro
ø
,
“
Co
ll
e
c
ti
n
g
h
e
a
lt
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re
late
d
tex
t
f
ro
m
p
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ti
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n
t
h
e
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lt
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w
rit
in
g
s”
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in
T
h
e
2
n
d
I
n
ter
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t
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l
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n
fer
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n
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C
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mp
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d
Au
to
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0
1
0
,
v
o
l.
1
,
p
p
.
1
5
-
1
9
.
[2
]
A
.
K
e
se
l
m
a
n
,
L
.
S
lau
g
h
ter,
C.
A
rn
o
tt
-
S
m
it
h
,
H.
Ki
m
,
G
.
Div
it
a
,
A
.
Bro
w
n
e
,
C.
T
s
a
i,
a
n
d
Q.
Zen
g
-
T
re
it
ler,
“
T
o
w
a
rd
s Co
n
su
m
e
r
-
F
rien
d
ly
P
HRs
:
P
a
ti
e
n
ts’
Ex
p
e
rien
c
e
w
it
h
Re
v
ie
w
in
g
T
h
e
ir
He
a
lt
h
Re
c
o
rd
s”
,
in
AM
IA
An
n
u
a
l
S
y
mp
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si
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m P
ro
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in
g
s
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2
0
0
7
,
v
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l.
2
0
0
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,
n
o
.
F
e
b
ru
a
ry
,
p
p
.
3
9
9
-
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0
3
.
[3
]
M
.
H.
T
e
k
ieh
a
n
d
B.
Ra
a
h
e
m
i,
“
Im
p
o
rtan
c
e
o
f
Da
ta
M
in
in
g
in
He
a
lt
h
c
a
re
:
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S
u
rv
e
y
”
,
p
p
.
1
0
5
7
-
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0
6
2
,
2
0
1
5
.
[4
]
S
.
Af
a
n
ten
o
s,
V
.
Ka
rk
a
letsis,
a
n
d
P
.
S
tam
a
to
p
o
u
lo
s,
“
S
u
m
m
a
riz
a
ti
o
n
f
ro
m
m
e
d
ica
l
d
o
c
u
m
e
n
ts:
A
su
rv
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y
”
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Arti
f.
In
tell.
M
e
d
.
,
v
o
l.
3
3
,
n
o
.
2
,
p
p
.
1
5
7
-
1
7
7
,
2
0
0
5
.
[5
]
C.
D.
Co
rley
,
D.J.
Co
o
k
,
A
.
R.
M
ik
ler,
a
n
d
K.
P
.
S
i
n
g
h
,
“
T
e
x
t
a
n
d
stru
c
tu
ra
l
d
a
ta
m
in
in
g
o
f
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m
e
n
ti
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w
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b
a
n
d
so
c
ial
m
e
d
ia
”
,
In
t.
J
.
E
n
v
iro
n
.
Res
.
Pu
b
li
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He
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lt
h
,
v
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l
.
7
,
n
o
.
2
,
p
p
.
5
9
6
-
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5
,
2
0
1
0
.
[6
]
N.B.
a
n
d
A
.
Ja
isw
a
l,
“
L
it
e
ra
tu
re
Re
v
ie
w
o
n
A
u
to
m
a
ti
c
T
e
x
t
S
u
m
m
a
riza
ti
o
n
:
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i
n
g
le
a
n
d
M
u
lt
i
p
le
S
u
m
m
a
ri
z
a
ti
o
n
s”
,
In
t.
J
.
C
o
mp
u
t.
Ap
p
l.
,
v
o
l.
1
1
7
,
n
o
.
6
,
p
p
.
2
0
5
6
0
-
2
9
4
8
,
2
0
1
5
.
[7
]
E.
P
a
d
m
a
lah
a
ri,
D.
V.
N.S
.
Ku
m
a
r,
a
n
d
S
.
P
ra
sa
d
,
“
A
u
to
m
a
ti
c
te
x
t
su
m
m
a
riz
a
ti
o
n
w
it
h
sta
ti
stica
l
a
n
d
li
n
g
u
isti
c
f
e
a
tu
re
s
u
sin
g
su
c
c
e
ss
iv
e
th
re
sh
o
ld
s”
,
i
n
Pro
c
e
e
d
in
g
s
o
f
2
0
1
4
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ad
v
a
n
c
e
d
Co
mm
u
n
ica
ti
o
n
,
C
o
n
tr
o
l
a
n
d
Co
mp
u
ti
n
g
T
e
c
h
n
o
lo
g
ies
,
ICACCCT
2
0
14
,
2
0
1
4
,
p
p
.
1
5
1
9
-
1
5
2
4
.
[8
]
Y.
L
i,
W
.
M
a
o
,
D.
Zen
g
,
L
.
Hu
a
n
g
f
u
,
a
n
d
C.
L
iu
,
“
Ex
trac
ti
n
g
o
p
i
n
io
n
e
x
p
lan
a
ti
o
n
s
f
ro
m
Ch
in
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se
o
n
li
n
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re
v
ie
w
s
”
,
in
I
n
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
In
telli
g
e
n
c
e
a
n
d
S
e
c
u
rity
I
n
f
o
rm
a
ti
c
s:
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b
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rs
p
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e
,
B
o
rd
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n
d
Imm
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s
,
2
0
1
2
,
p
p
.
2
2
1
-
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2
3
.
[9
]
V
.
G
u
p
ta
a
n
d
G
.
S
.
L
e
h
a
l,
“
A
S
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rv
e
y
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f
T
e
x
t
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m
m
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riza
ti
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n
E
x
trac
ti
v
e
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h
n
iq
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s
”
,
J
.
Eme
rg
.
T
e
c
h
n
o
l
.
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