I
AE
S
I
nte
rna
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
5
,
No
.
2
,
J
u
n
e
2016
,
p
p
.
55
~
63
I
SS
N:
2252
-
8938
55
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
jo
u
r
n
a
l.c
o
m/o
n
lin
e/in
d
ex
.
p
h
p
/I
J
A
I
Effec
tive Ana
ly
sis
of Lung
Inf
ectio
n using
F
u
zz
y
Ru
les
Na
v
neet
Wa
lia
,
H
a
rsu
k
hp
re
et
Sin
g
h,
Anura
g
Sh
a
r
m
a
De
p
a
rtm
e
n
t
o
f
El
e
c
tro
n
ics
a
n
d
C
o
m
m
u
n
ica
ti
o
n
E
n
g
in
e
e
rin
g
,
CT
In
stit
u
te
o
f
T
e
c
h
n
o
lo
g
y
a
n
d
Re
se
a
rc
h
,
Ja
lan
d
h
a
r
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Ma
r
3
,
2
0
1
6
R
ev
i
s
ed
Ma
y
7
,
2
0
1
6
A
cc
ep
ted
Ma
y
2
4
,
2
0
1
6
S
o
f
t
Co
m
p
u
ti
n
g
is
c
o
n
g
lo
m
e
ra
te
o
f
m
e
th
o
d
o
lo
g
ies
w
h
ich
w
o
rk
s
to
g
e
th
e
r
a
n
d
p
ro
v
id
e
s
a
n
a
b
il
it
y
to
m
a
k
e
a
d
e
c
isio
n
f
ro
m
re
li
a
b
le
d
a
ta
o
r
e
x
p
e
rt’s
e
x
p
e
rien
c
e
.
No
w
a
d
a
y
s
d
if
fe
re
n
t
ty
p
e
s
o
f
so
f
t
c
o
m
p
u
ti
n
g
tec
h
n
i
q
u
e
s
su
c
h
a
s
n
e
u
ra
l
n
e
tw
o
rk
,
f
u
z
z
y
lo
g
ic,
g
e
n
e
ti
c
a
l
g
o
rit
h
m
a
n
d
h
y
b
rid
s
y
ste
m
a
re
lar
g
e
l
y
u
se
d
in
m
e
d
ica
l
a
re
a
s.
In
th
is
p
a
p
e
r,
a
n
a
lg
o
rit
h
m
f
o
r
a
n
a
l
y
sis
o
f
lu
n
g
in
f
e
c
ti
o
n
is
p
re
se
n
ted
.
T
h
e
m
a
in
f
o
c
u
s
is
t
o
d
e
v
e
lo
p
sy
ste
m
a
rc
h
it
e
c
tu
re
to
f
in
d
p
r
o
b
a
b
le
d
ise
a
se
sta
g
e
p
a
ti
e
n
t
m
a
y
h
a
v
e
.
S
e
v
e
rit
y
lev
e
l
o
f
d
ise
a
s
e
is
d
e
term
in
e
d
b
y
u
sin
g
ru
le
b
a
s
e
m
e
th
o
d
.
T
h
e
a
lg
o
rit
h
m
u
se
s
a
n
o
u
tp
u
t
o
f
Ru
leb
a
se
e
n
tere
d
b
y
th
e
u
se
r
t
o
d
e
ter
m
in
e
a
lev
e
l
o
f
in
fe
c
ti
o
n
.
K
ey
w
o
r
d
:
Dec
is
io
n
s
u
p
p
o
r
t s
y
s
te
m
Fu
zz
y
lo
g
ic
Me
d
ical
s
u
p
p
o
r
t s
y
s
te
m
R
u
leb
ase
d
ia
g
n
o
s
is
Co
p
y
rig
h
t
©
2
0
1
6
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Nav
n
ee
t W
alia
,
Dep
ar
t
m
en
t o
f
E
lectr
ical
an
d
C
o
m
m
u
n
ica
tio
n
E
n
g
i
n
ee
r
in
g
,
Natio
n
al
C
h
u
n
g
C
h
e
n
g
Un
i
v
er
s
it
y
,
1
6
8
Un
iv
er
s
it
y
R
o
ad
,
Min
h
s
i
u
n
g
T
o
w
n
s
h
ip
,
C
h
ia
y
i
C
o
u
n
t
y
6
2
1
0
2
,
T
aiw
a
n
,
R
O
C
.
E
m
ail:
n
av
n
ee
t
w
al
ia3
5
6
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
Me
d
ical
d
iag
n
o
s
is
i
s
o
n
e
o
f
t
h
e
m
o
s
t
i
m
p
o
r
ta
n
t
i
s
s
u
es
i
n
h
ea
lth
ca
r
e.
T
h
e
m
ed
ical
i
n
d
u
s
t
r
y
r
eq
u
ir
es
n
e
w
e
n
g
i
n
ee
r
in
g
tech
n
o
lo
g
ie
s
,
to
ass
ess
in
f
o
r
m
atio
n
o
b
j
ec
t
iv
el
y
.
T
h
e
m
ed
ical
i
n
d
u
s
tr
y
i
s
o
n
e
o
f
th
e
f
ie
ld
s
,
w
h
ic
h
r
eq
u
ir
es
n
e
w
en
g
i
n
ee
r
in
g
tec
h
n
o
lo
g
ies
to
ac
ce
s
s
u
n
ce
r
tai
n
i
n
f
o
r
m
atio
n
o
b
j
ec
tiv
el
y
.
W
it
h
r
ec
en
t
d
ev
elo
p
m
en
t
s
i
n
m
ed
ical
e
n
g
i
n
ee
r
in
g
a
n
d
o
th
er
co
n
tr
o
l
ar
ea
s
h
a
v
e
b
ee
n
ac
h
iev
ed
b
y
s
ta
te
-
of
-
ar
t
i
n
te
l
lig
e
n
t
co
m
p
u
ti
n
g
tec
h
n
iq
u
es
r
an
g
i
n
g
f
r
o
m
co
m
p
u
ter
-
aid
ed
d
iag
n
o
s
is
,
co
m
p
u
ter
aid
ed
r
ad
io
g
r
a
p
h
y
,
in
te
n
s
iv
e
ca
r
e
u
n
i
ts
.
Ma
k
i
n
g
t
h
e
u
s
e
o
f
ar
ti
f
i
cial
in
telli
g
en
ce
,
in
f
o
r
m
at
io
n
p
r
o
ce
s
s
in
g
an
d
d
ata
m
i
n
i
n
g
h
o
ld
s
n
e
w
m
et
h
o
d
f
o
r
ap
p
r
o
x
im
a
te
i
n
f
er
e
n
ce
[
1
]
.
I
n
ef
f
ec
t,
t
h
e
r
o
le
o
f
s
o
f
t
co
m
p
u
t
in
g
is
th
e
h
u
m
an
m
in
d
.
T
h
e
g
u
id
in
g
p
r
in
c
ip
le
o
f
s
o
f
t
co
m
p
u
ti
n
g
i
s
to
e
x
p
lo
it
t
h
e
to
ler
an
ce
o
f
i
m
p
r
ec
i
s
io
n
,
u
n
ce
r
tain
t
y
,
an
d
p
ar
tial
tr
u
t
h
to
a
ch
iev
e
tr
ac
tab
ilit
y
,
r
o
b
u
s
tn
es
s
a
n
d
lo
w
s
o
l
u
tio
n
co
s
t,
as
d
escr
ib
ed
b
y
P
r
o
f
.
L
o
f
ti
Z
a
h
ed
in
1
9
6
5
[
2
]
.
T
h
e
ac
cu
r
ac
y
o
f
t
h
e
d
iag
n
o
s
i
s
co
n
tr
ib
u
tes
i
n
to
t
h
e
r
ig
h
t
tr
ea
t
m
e
n
t
a
n
d
s
u
b
s
eq
u
en
t
l
y
t
h
e
c
u
r
e
o
f
t
h
e
d
is
ea
s
e.
I
n
r
ec
en
t
y
ea
r
s
,
co
m
p
u
tatio
n
al
i
n
tell
ig
e
n
ce
h
as
b
ee
n
w
id
el
y
u
s
ed
to
s
o
lv
e
m
a
n
y
co
m
p
le
x
p
r
o
b
le
m
s
b
ec
a
u
s
e
o
f
it
s
ca
p
ab
ilit
y
to
h
an
d
le
t
h
e
co
m
p
le
x
it
y
o
f
h
u
m
an
m
in
d
,
p
ar
tial
tr
u
t
h
,
ap
p
r
o
x
im
ate
i
n
f
er
en
ce
,
an
d
u
n
ce
r
tai
n
t
y
.
So
f
t
co
m
p
u
t
in
g
is
a
co
m
b
in
atio
n
o
f
f
u
zz
y
lo
g
i
cs
(
FL
)
,
n
e
u
r
al
n
et
w
o
r
k
(
NN)
an
d
g
en
e
tic
alg
o
r
it
h
m
s
(
G
A
)
m
et
h
o
d
o
lo
g
ies.
A
ll
th
ese
tec
h
n
iq
u
es
w
o
r
k
s
y
n
er
g
is
ticall
y
to
g
et
h
er
an
d
p
r
o
v
id
e
a
s
o
lu
tio
n
f
r
o
m
o
n
e
f
o
r
m
to
an
o
th
er
.
Du
e
to
it
s
f
le
x
ib
le
in
f
o
r
m
atio
n
p
r
o
ce
s
s
in
g
ca
p
ab
ilit
y
f
o
r
d
ec
is
io
n
-
m
a
k
in
g
s
y
s
te
m
s
,
s
u
c
h
as
ex
p
er
t
s
y
s
te
m
s
a
n
d
p
atter
n
class
i
f
icatio
n
s
y
s
te
m
[
3
]
it
is
w
id
el
y
e
m
p
lo
y
ed
i
n
m
ed
ica
l
s
cie
n
ce
ap
p
licatio
n
s
.
I
n
r
ea
l
w
o
r
l
d
co
m
p
u
ti
n
g
en
v
ir
o
n
m
e
n
t,
i
n
f
o
r
m
atio
n
i
s
n
o
t
co
m
p
lete,
f
u
l
l
o
f
u
n
ce
r
tai
n
t
y
an
d
i
m
p
r
ec
i
s
e
w
h
ic
h
m
ak
e
s
d
if
f
ic
u
lt
to
d
er
iv
e
ac
tu
al
d
ec
is
io
n
.
Var
io
u
s
d
ec
i
s
io
n
s
u
p
p
o
r
t
s
y
s
te
m
s
h
a
v
e
b
ee
n
co
n
s
tr
u
cted
w
i
th
th
e
h
el
p
o
f
th
e
ar
tific
ial
in
telli
g
e
n
ce
.
T
h
ese
s
y
s
te
m
s
h
a
v
e
w
id
el
y
p
r
o
v
ed
v
er
y
u
s
e
f
u
l
f
o
r
m
ed
ical
ex
p
er
ts
in
m
ak
i
n
g
a
p
r
o
m
p
t
d
ec
is
io
n
ab
o
u
t
d
iag
n
o
s
i
s
[
4
]
.
I
n
th
e
a
d
v
en
t
o
f
tec
h
n
o
lo
g
y
,
co
m
p
u
t
er
izatio
n
in
t
h
e
h
ea
lth
ca
r
e
u
n
it
allo
w
s
a
v
ar
io
u
s
clin
ical
d
ec
is
io
n
-
m
a
k
i
n
g
u
n
it
to
b
e
c
o
n
s
tr
u
cted
;
th
at
ca
n
p
e
r
f
o
r
m
co
m
p
u
tat
io
n
as
a
h
u
m
a
n
ex
p
er
t
in
n
ar
r
o
w
d
o
m
ai
n
p
r
o
b
lem
.
T
h
ese
C
li
n
i
ca
l
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
s
ar
e
b
r
o
ad
ly
clas
s
i
f
ied
in
to
t
wo
m
ai
n
ca
teg
o
r
ies
a
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
5
,
No
.
2
,
J
u
n
e
2
0
1
6
:
55
–
63
56
s
h
o
w
n
in
“
Fi
g
u
r
e
1
”
(
i)
Kn
o
w
led
g
e
-
b
ased
C
li
n
ical
Dec
i
s
io
n
S
u
p
p
o
r
t
Sy
s
te
m
(
ii)
No
n
K
n
o
w
led
g
e
b
ased
C
li
n
ical
Dec
is
io
n
S
u
p
p
o
r
t S
y
s
te
m
.
1
.
1
.
K
no
w
ledg
e
ba
s
ed
Clini
ca
l D
ec
is
io
n Su
pp
o
rt
Sy
s
t
e
m
T
h
e
k
n
o
w
led
g
e
-
b
ased
clin
ical
s
y
s
te
m
co
n
ta
in
s
a
s
et
o
f
I
f
t
h
e
n
r
u
les
t
h
at
ar
e
u
s
ed
to
d
escr
ib
e
ce
r
tain
p
atter
n
s
.
R
u
le
s
ar
e
ev
al
u
ated
b
ased
o
n
o
b
s
er
v
ed
d
ata
co
llected
.
W
h
en
t
h
e
g
i
v
e
n
s
et
s
o
f
r
u
les
ar
e
lo
g
ica
ll
y
s
atis
f
ied
,
th
e
p
atter
n
is
id
e
n
ti
f
ied
an
d
th
e
p
r
o
b
lem
ass
o
ciate
d
w
it
h
th
at
p
atter
n
is
e
v
al
u
ate
d
.
Fo
r
ex
am
p
le,
if
p
ain
in
te
n
s
i
t
y
e
x
ce
ed
ed
u
p
to
a
ce
r
tain
lev
el
th
e
n
w
ar
n
i
n
g
p
atter
n
is
g
e
n
er
ated
.
E
ac
h
p
ar
ticu
lar
p
r
o
b
lem
e
m
p
lo
y
s
a
s
p
ec
if
ic
tr
ea
t
m
e
n
t.
T
h
e
k
n
o
w
led
g
e
b
ased
cli
n
ica
l
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
co
n
s
is
t
s
o
f
t
h
r
ee
m
a
in
p
ar
ts
:
Kn
o
w
led
g
e
b
ase
co
m
p
o
n
en
t,
I
n
f
er
e
n
c
e
en
g
i
n
e,
F
u
zz
i
f
icatio
n
co
m
p
o
n
e
n
t.
K
n
o
w
led
g
e
b
ase
u
n
it
co
n
tain
s
r
u
le
b
ase
an
d
d
atab
ase
th
at
d
e
f
i
n
es
t
h
e
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
o
f
f
u
zz
y
s
ets
u
s
ed
in
f
u
zz
y
r
u
les.
I
n
f
er
e
n
ce
u
n
it
p
er
f
o
r
m
s
th
e
o
p
er
atio
n
o
n
th
e
r
u
les
to
co
n
v
er
t
cr
is
p
q
u
an
t
it
y
in
t
o
f
u
zz
y
q
u
a
n
tit
i
es.
Fu
zz
i
f
icatio
n
u
n
it
u
s
e
to
tr
an
s
l
ate
in
p
u
t
v
al
u
es i
n
to
f
u
zz
i
f
ied
v
alu
e
s
[
5
]
.
1
.
2
.
No
n
-
K
no
w
ledg
e
ba
s
ed
Clini
ca
l D
ec
is
io
n Sup
po
rt
Sy
s
t
e
m
C
li
n
ical
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
s
w
it
h
o
u
t
k
n
o
w
led
g
e
b
as
e
u
n
it
ar
e
ca
lled
n
o
n
k
n
o
w
le
d
g
e
b
ased
clin
ical
d
ec
i
s
io
n
s
u
p
p
o
r
t
s
y
s
te
m
.
T
h
ese
s
y
s
te
m
s
m
ak
e
u
s
e
o
f
ar
ti
f
icial
i
n
tell
ig
e
n
ce
ca
lled
m
ac
h
in
e
lear
n
i
n
g
to
p
r
o
d
u
ce
d
ec
is
io
n
o
u
tp
u
t.
T
h
is
s
y
s
te
m
i
s
d
iv
id
ed
in
to
t
w
o
t
y
p
es a
s
m
e
n
tio
n
ed
b
elo
w
:
1
.
2
.
1
.
Art
if
icia
l N
eura
l N
et
w
o
rk
(
ANN)
A
n
eu
r
al
n
e
t
w
o
r
k
is
a
d
ata
p
r
o
ce
s
s
in
g
s
y
s
te
m
co
n
s
i
s
ti
n
g
o
f
a
lar
g
e
n
u
m
b
er
o
f
s
i
m
p
le,
h
ig
h
l
y
in
ter
co
n
n
ec
ted
p
r
o
ce
s
s
i
n
g
el
e
m
en
ts
(
ar
tif
icia
l
n
eu
r
o
n
s
)
in
s
p
ir
ed
b
y
n
e
u
r
o
s
cie
n
ce
o
r
n
e
u
r
o
b
io
lo
g
y
.
I
t
r
ese
m
b
les
h
u
m
a
n
b
r
ain
i
n
t
w
o
r
esp
ec
ts
,
(
i)
k
n
o
w
led
g
e
i
s
ac
q
u
ir
ed
b
y
n
et
w
o
r
k
f
r
o
m
i
ts
en
v
i
r
o
n
m
e
n
t
th
r
o
u
g
h
a
lear
n
in
g
p
r
o
ce
s
s
,
(
ii)
in
ter
n
e
u
r
o
n
co
n
n
ec
tio
n
s
tr
e
n
g
th
s
,
k
n
o
w
n
a
s
s
y
n
ap
tic
w
ei
g
h
ts
,
ar
e
u
s
ed
to
s
to
r
e
th
e
ac
q
u
ir
ed
k
n
o
w
led
g
e.
I
t
i
s
a
s
y
s
te
m
w
it
h
i
n
p
u
t
a
n
d
o
u
tp
u
ts
c
o
m
p
o
s
ed
o
f
m
a
n
y
s
i
m
p
le
a
n
d
s
i
m
ilar
p
r
o
ce
s
s
i
n
g
ele
m
e
n
ts
.
T
h
e
p
r
o
ce
d
u
r
e
u
s
ed
to
p
er
f
o
r
m
t
h
e
lear
n
in
g
p
r
o
ce
s
s
is
ca
lled
lear
n
i
n
g
a
lg
o
r
it
h
m
,
th
e
f
u
n
ctio
n
o
f
w
h
ic
h
is
to
m
o
d
if
y
s
y
n
ap
tic
w
ei
g
h
ts
o
f
t
h
e
n
et
w
o
r
k
i
n
an
o
r
d
er
ly
f
as
h
io
n
to
attain
d
esire
d
d
esig
n
o
b
j
ec
tiv
e.
T
h
e
n
eu
r
al
n
et
w
o
r
k
is
r
o
b
u
s
t
s
y
s
te
m
s
h
a
v
in
g
t
h
e
ca
p
ab
ilit
y
o
f
f
au
l
t
to
ler
an
ce
a
n
d
e
x
h
ib
it
lear
n
i
n
g
ab
ilit
y
to
m
ap
i
n
p
u
t
p
atter
n
s
to
a
s
s
o
ciat
e
o
u
tp
u
t
p
atter
n
s
b
ased
o
n
a
li
m
ited
s
et
o
f
d
ata
[
6
,
7
]
.
Neu
r
a
l n
et
w
o
r
k
u
s
e
n
o
d
es
an
d
w
ei
g
h
ted
co
n
n
ec
tio
n
s
to
d
er
iv
e
a
r
elatio
n
s
h
ip
b
et
w
ee
n
s
y
m
p
to
m
s
a
n
d
d
iag
n
o
s
is
.
1
.
2
.
2
.
G
enet
ic
Alg
o
rit
h
m
(
G
A)
Gen
etic
alg
o
r
it
h
m
ar
e
s
u
b
c
lass
o
f
e
v
o
lu
tio
n
ar
y
al
g
o
r
ith
m
(
E
A’
s
)
t
h
at
u
s
e
b
io
lo
g
y
i
n
s
p
ir
ed
m
ec
h
a
n
i
s
m
,
w
h
er
e
ele
m
en
t
s
o
f
s
ea
r
ch
s
p
ac
e
ar
e
b
in
ar
y
s
tr
i
n
g
s
(
ch
r
o
m
o
s
o
m
e
s
)
w
h
i
ch
co
r
r
esp
o
n
d
to
a
p
ar
ticu
lar
s
o
lu
t
io
n
.
G
A
i
s
co
m
p
u
ter
b
ased
g
lo
b
al
s
ea
r
ch
te
ch
n
iq
u
e
e
f
f
ec
t
iv
e
i
n
ac
q
u
ir
in
g
o
p
tim
a
l
s
o
l
u
tio
n
f
o
r
s
o
lv
i
n
g
o
p
ti
m
izatio
n
p
r
o
b
lem
s
b
y
s
i
m
u
lati
n
g
t
h
e
m
ec
h
a
n
i
s
m
s
o
f
g
e
n
etics
a
n
d
n
at
u
r
al
s
e
lectio
n
.
T
h
e
m
aj
o
r
w
ea
k
n
ess
o
f
G
A
is
th
a
t
it
u
s
u
all
y
te
n
d
s
to
b
e
(
i)
co
m
p
u
tat
io
n
all
y
ex
p
e
n
s
i
v
e
i
n
r
ea
l
s
y
s
t
e
m
s
,
(
ii)
p
r
e
m
atu
r
e
co
n
v
er
g
e
n
ce
a
n
d
(
iii)
s
lo
w
s
e
ar
ch
s
p
ee
d
.
T
h
is
m
et
h
o
d
is
a
p
p
r
o
p
r
iate
w
h
en
w
e
d
o
n
'
t
n
e
ed
to
f
i
n
d
th
e
b
est
s
o
lu
tio
n
,
o
n
l
y
ap
p
r
o
p
r
iate
is
r
eq
u
ir
ed
[
8
]
.
Selectio
n
alg
o
r
ith
m
e
v
al
u
ates
co
m
p
o
n
en
t
s
o
f
a
s
o
lu
tio
n
to
a
co
m
p
le
x
p
r
o
b
lem
.
T
h
e
g
en
er
ic
s
y
s
te
m
g
o
e
s
th
r
o
u
g
h
a
n
u
m
b
er
o
f
iter
ati
v
e
m
et
h
o
d
s
to
ev
alu
ate
t
h
e
b
est
s
o
lu
tio
n
o
f
r
eq
u
ir
ed
p
r
o
b
lem
.
T
h
e
p
ar
am
eter
o
p
ti
m
izatio
n
a
p
p
r
o
ac
h
h
as
b
ee
n
w
id
el
y
ad
o
p
ted
in
a
n
u
m
b
er
o
f
g
en
et
ic
f
u
zz
y
s
y
s
te
m
s
[
9
]
.
Fu
zz
y
s
et
t
h
eo
r
y
o
f
f
er
s
a
n
u
m
b
er
o
f
p
r
o
p
er
ties
th
a
t
m
ak
es
it
p
r
o
m
i
n
e
n
t
f
o
r
f
o
r
m
alizi
n
g
t
h
e
u
n
ce
r
t
ai
n
i
n
f
o
r
m
atio
n
u
p
o
n
w
h
ic
h
m
ed
ical
d
iag
n
o
s
i
s
a
n
d
tr
ea
t
m
e
n
t
ar
e
u
s
u
all
y
b
ased
.
Firstl
y
,
it
m
ak
e
s
to
d
ef
in
e
i
n
ex
ac
t
m
ed
ical
en
titi
es
as
f
u
zz
y
s
et
s
b
ased
o
n
m
e
m
b
er
s
h
ip
r
ath
er
th
an
class
ica
l
b
in
ar
y
lo
g
ic.
Seco
n
d
l
y
,
it
m
a
k
es
a
l
in
g
u
i
s
tic
ap
p
r
o
ac
h
w
it
h
a
n
e
x
ce
l
le
n
t
ap
p
r
o
x
i
m
atio
n
to
m
e
d
ical
tex
t
s
.
I
t
is
a
p
o
w
er
f
u
l
to
o
l
to
tack
le
im
p
r
e
cisi
o
n
an
d
u
n
ce
r
tain
t
y
.
Fi
n
all
y
,
f
u
zz
y
lo
g
ic
o
f
f
er
s
r
ea
s
o
n
i
n
g
m
et
h
o
d
s
w
h
ic
h
ar
e
ca
p
ab
le
o
f
m
ak
i
n
g
ap
p
r
o
x
i
m
ate
in
f
er
en
ce
s
.
Fu
zz
y
s
et
t
h
e
o
r
y
i
s
an
aid
i
n
p
r
o
v
id
in
g
s
y
m
b
o
lic
k
n
o
w
led
g
e
i
n
f
o
r
m
atio
n
i
n
m
o
r
e
h
u
m
a
n
co
m
p
r
e
h
en
s
ib
le
o
r
n
atu
r
al
f
o
r
m
,
a
n
d
ca
n
h
a
n
d
le
s
u
s
p
icio
n
s
at
v
ar
io
u
s
le
v
el
s
.
T
h
ese
f
ac
ts
m
a
k
e
it
p
o
s
s
i
b
le
to
e
m
p
lo
y
f
u
zz
y
s
et
th
eo
r
y
f
o
r
th
e
d
ev
elo
p
m
e
n
t
o
f
a
co
m
p
u
ter
ized
d
iag
n
o
s
i
s
s
y
s
te
m
[
1
0
,
1
1
]
.
Sin
ce
f
u
zz
y
lo
g
ic
r
ese
m
b
les
h
u
m
an
d
ec
is
io
n
m
ak
in
g
w
it
h
it
s
ab
ilit
y
to
w
o
r
k
f
r
o
m
ap
p
r
o
x
im
a
te
r
ea
s
o
n
i
n
g
a
n
d
u
lti
m
ate
l
y
to
f
i
n
d
a
p
r
ec
is
e
s
o
lu
tio
n
,
it
ca
n
b
e
ap
p
lied
in
t
h
e
d
iag
n
o
s
i
n
g
an
d
m
o
n
ito
r
i
n
g
o
f
d
is
ea
s
e
s
in
cl
u
d
in
g
l
u
n
g
in
f
ec
tio
n
s
.
T
h
e
g
o
al
is
to
m
i
m
ic
t
h
e
ac
tio
n
s
o
f
a
d
o
m
a
in
ex
p
er
t
w
h
o
ca
n
s
o
lv
e
co
m
p
le
x
p
r
o
b
lem
s
.
Fu
zz
y
lo
g
ic
h
as
p
r
o
v
ed
w
o
n
d
er
f
u
l
to
o
l
f
o
r
d
ec
is
io
n
-
m
a
k
i
n
g
s
y
s
te
m
s
an
d
it
is
ap
p
r
o
p
r
iate
if
s
u
f
f
icie
n
t
e
x
p
er
t
k
n
o
w
led
g
e
ab
o
u
t
t
h
e
p
r
o
ce
s
s
is
a
v
ailab
le
[
9
]
.
I
n
th
e
p
r
ese
n
t
p
ap
er
,
f
u
zz
y
r
u
le
b
ase
s
y
s
te
m
is
d
esi
g
n
ed
to
s
er
v
e
a
d
ec
is
io
n
s
u
p
p
o
r
t
f
o
r
p
r
ed
ictin
g
l
u
n
g
i
n
f
ec
tio
n
.
A
l
u
n
g
d
is
ea
s
e
o
cc
u
r
s
m
ai
n
l
y
t
h
r
o
u
g
h
co
n
tag
io
u
s
b
ac
ter
ial
in
f
ec
tio
n
s
an
d
in
v
o
lv
es
lu
n
g
s
,
b
u
t
m
a
y
s
p
r
ea
d
to
o
th
er
o
r
g
an
s
.
T
h
e
p
er
s
o
n
g
ets
in
f
ec
ted
b
y
b
r
ea
th
in
g
i
n
air
d
r
o
p
lets
f
r
o
m
a
co
u
g
h
o
r
s
n
ee
ze
o
f
an
in
f
ec
te
d
p
er
s
o
n
.
C
o
m
m
o
n
s
y
m
p
to
m
s
in
v
o
lv
e
b
r
ea
th
i
n
g
d
if
f
ic
u
lt
y
,
co
u
g
h
,
h
ae
m
o
p
t
y
s
i
s
ar
e
th
e
co
m
m
o
n
i
n
d
icatio
n
s
o
f
lu
n
g
in
f
ec
tio
n
s
.
T
h
e
s
co
p
e
o
f
t
h
i
s
w
o
r
k
is
to
d
ev
elo
p
p
r
o
to
ty
p
e
w
ar
n
i
n
g
s
y
s
t
e
m
f
o
r
cli
n
ical
ac
ti
v
it
y
,
b
ased
o
n
as
s
u
m
p
tio
n
t
h
at
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
E
ffective
A
n
a
lysi
s
o
f Lu
n
g
I
n
fe
ctio
n
u
s
in
g
F
u
z
z
y
R
u
les
(
N
a
vn
ee
t W
a
lia
)
57
clin
ical
p
r
o
b
le
m
s
ca
n
b
e
an
al
y
ze
d
u
s
i
n
g
s
i
m
p
le
r
u
les
an
d
d
ec
is
io
n
p
r
o
ce
s
s
o
f
p
h
y
s
icia
n
ca
n
b
e
m
o
d
elled
b
y
u
s
i
n
g
s
et
s
o
f
f
u
zz
y
r
u
les.
R
u
l
e
b
ased
s
y
s
te
m
s
ar
e
m
ai
n
l
y
u
s
ed
in
m
ed
ical
d
ia
g
n
o
s
is
.
I
n
t
h
is
,
t
h
e
k
n
o
w
led
g
e
b
ase
s
to
r
es
all
i
n
f
o
r
m
atio
n
ab
o
u
t
th
e
s
y
m
p
to
m
s
a
n
d
d
is
ea
s
e
in
t
h
e
f
o
r
m
o
f
r
u
les
i
n
t
h
e
R
u
le
b
ase
[
1
2
]
.
Fu
zz
y
lo
g
ic
p
r
o
v
id
es
in
f
er
e
n
ce
m
o
r
p
h
o
lo
g
y
to
b
u
ild
a
s
y
s
te
m
b
a
s
e
d
o
n
a
s
et
o
f
u
s
er
s
u
p
p
lied
h
u
m
an
la
n
g
u
a
g
e
r
u
les.
Ho
w
e
v
er
,
f
u
zz
y
lo
g
ic
is
h
i
g
h
l
y
ab
s
tr
ac
t
a
n
d
co
n
v
er
t
s
th
ese
r
u
les
to
t
h
eir
m
at
h
e
m
atica
l
eq
u
iv
ale
n
t
s
eq
u
iv
al
e
n
t
s
.
T
h
is
s
i
m
p
li
f
ies
t
h
e
j
o
b
o
f
th
e
s
y
s
te
m
d
esi
g
n
e
r
an
d
th
e
co
m
p
u
ter
,
an
d
r
esu
lts
in
a
m
u
c
h
m
o
r
e
ac
cu
r
ate
r
ep
r
esen
tatio
n
o
f
th
e
w
a
y
s
y
s
te
m
s
b
e
h
av
e
i
n
t
h
e
r
ea
l
w
o
r
ld
[
1
3
,
3
]
.
2.
RE
VI
E
W
O
F
RE
L
A
T
E
D
W
O
RK
I
n
th
i
s
s
ec
tio
n
,
w
e
w
ill
i
n
tr
o
d
u
ce
s
o
m
e
r
elate
d
w
o
r
k
s
i
n
th
e
f
ield
o
f
f
u
zz
y
lo
g
ic.
A
d
etailed
s
u
r
v
e
y
o
f
f
u
zz
y
lo
g
ic
tec
h
n
iq
u
es
i
s
f
o
u
n
d
in
th
is
s
ec
tio
n
.
T
h
er
e
ar
e
m
an
y
w
o
r
k
s
in
liter
at
u
r
e
th
at
ex
p
lain
s
d
esig
n
an
d
i
m
p
le
m
en
ta
tio
n
o
f
a
m
ed
ica
l
ex
p
er
ts
s
y
s
te
m
.
A
co
m
p
u
t
atio
n
al
s
y
s
te
m
b
ased
o
n
n
e
u
r
o
-
f
u
zz
y
lo
g
ic
f
o
r
id
en
ti
f
icatio
n
o
f
A
lz
h
ei
m
er
was
p
r
esen
ted
b
y
J
.
C
.
Ob
i
et
al
.
(
2
0
1
1
)
[
1
5
]
.
T
h
is
s
y
s
te
m
u
s
es
a
s
et
o
f
f
u
zz
i
f
ied
d
ataset
s
y
m
p
to
m
s
i
n
to
a
n
e
u
r
al
s
y
s
te
m
to
p
r
o
d
u
ce
m
o
r
e
p
r
ec
is
e
o
u
tp
u
t
t
h
an
th
e
tr
ad
it
io
n
al
m
e
th
o
d
.
T
h
e
i
m
p
le
m
en
ta
tio
n
r
es
u
lt
s
r
ev
ea
l
th
at
h
y
b
r
id
s
y
s
te
m
is
i
n
tr
o
d
u
c
ed
in
h
ea
lth
ca
r
e
d
eli
v
er
y
ce
n
t
er
s
to
h
elp
ea
s
e
th
e
w
o
r
k
o
f
p
h
y
s
ic
ian
s
.
T
o
h
an
d
le
u
n
ce
r
tai
n
t
y
an
d
i
m
p
r
ec
is
io
n
in
m
ea
s
u
r
e
m
e
n
ts
r
elate
d
to
s
h
ap
e,
s
ize
o
f
ab
n
o
r
m
alit
y
o
f
u
lcer
s
,
f
u
zz
y
i
n
f
er
e
n
ce
s
y
s
te
m
w
as
d
esig
n
ed
f
o
r
ass
ess
m
en
t
o
f
p
ep
tic
u
lcer
s
b
y
K.
R
ez
ai
et
al.
(
2
0
1
4
)
[
1
6
]
.
T
h
e
r
esu
lts
o
f
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
m
o
d
els
r
ev
ea
l
th
at
v
ag
u
en
e
s
s
an
d
u
n
ce
r
tai
n
t
y
a
s
s
o
ciate
d
to
t
h
e
m
ea
s
u
r
e
m
e
n
t
s
o
f
s
m
a
ll
o
b
j
ec
t
s
in
lo
w
-
r
eso
l
u
tio
n
i
m
a
g
es
ca
n
b
e
en
h
an
ce
d
u
s
i
n
g
s
o
f
t
co
m
p
u
ti
n
g
tec
h
n
iq
u
es
.
T
h
e
en
co
u
r
ag
in
g
r
es
u
lt
s
o
f
i
n
t
ellig
e
n
t
f
u
zz
y
i
n
f
er
en
ce
s
y
s
te
m
ca
n
h
e
lp
m
ed
ical
ex
p
er
ts
as
s
ec
o
n
d
r
ea
d
er
f
o
r
d
etec
tio
n
o
f
p
ep
tic
u
lcer
i
n
a
d
ec
is
io
n
m
a
k
in
g
p
r
o
ce
s
s
an
d
co
n
s
eq
u
e
n
tl
y
,
i
m
p
r
o
v
es
t
h
e
tr
ea
t
m
e
n
t
p
r
o
ce
s
s
.
E
x
p
er
i
m
e
n
tal
s
i
m
u
latio
n
s
t
u
d
i
es
s
h
o
w
t
h
at
in
telli
g
en
t
s
y
s
te
m
p
r
o
v
i
d
es
m
a
x
i
m
u
m
ac
c
u
r
ac
y
o
f
9
8
.
1
%,
w
h
ic
h
s
h
o
w
s
a
s
u
p
er
io
r
it
y
o
f
t
h
e
i
n
f
er
en
ce
ap
p
r
o
ac
h
.
Fu
zz
y
lo
g
i
c
ca
n
b
e
ap
p
lied
to
d
eter
m
i
n
e
an
d
id
en
ti
f
y
lu
n
g
ca
n
ce
r
b
y
d
esi
g
n
in
g
f
u
zz
y
r
u
l
e
-
b
ased
in
f
er
en
ce
s
y
s
te
m
w
a
s
d
is
cu
s
s
ed
b
y
K.
L
v
a
n
a
y
a
et
a
l.
(
2
0
1
1
)
[
1
7
]
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
ac
ce
p
t
s
t
h
e
r
eq
u
ir
ed
s
y
m
p
to
m
s
f
o
r
th
e
l
u
n
g
i
n
f
ec
tio
n
a
n
d
ca
lc
u
lates
th
e
co
n
f
ir
m
ed
d
is
ea
s
e
s
tag
e
as
o
u
tp
u
t.
B
ased
o
n
t
h
e
in
p
u
t
s
p
r
o
v
id
ed
,
t
h
e
s
y
s
te
m
ca
lcu
late
s
t
h
e
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
f
o
r
b
o
th
i
n
p
u
ts
an
d
o
u
tp
u
t
s
v
ar
iab
les.
T
h
is
ap
p
r
o
ac
h
r
eq
u
ir
es
ex
p
er
t
k
n
o
w
le
d
g
e
g
at
h
er
ed
to
g
en
er
ate
r
u
les
an
d
r
u
les
ar
e
f
ir
ed
ac
co
r
d
in
g
l
y
to
g
e
n
er
ate
s
y
m
p
to
m
s
.
T
h
e
i
m
p
le
m
en
tatio
n
r
esu
lt
s
w
er
e
ca
r
r
ied
o
u
t
in
J
A
DE
ac
co
r
d
in
g
l
y
to
g
en
er
ate
ap
p
r
o
p
r
iate
s
y
m
p
to
m
s
.
T
h
e
i
m
p
le
m
e
n
tat
io
n
r
esu
l
ts
w
er
e
ca
r
r
ied
o
u
t
in
J
A
DE
an
d
MA
T
L
A
B
u
s
in
g
f
ea
t
u
r
es
o
f
th
e
f
u
zz
y
lo
g
ic
t
o
o
lb
o
x
.
A
n
atte
m
p
t
h
as
also
b
ee
n
i
m
p
le
m
e
n
ted
f
o
r
p
r
o
v
id
in
g
tr
ea
t
m
en
t
to
p
atien
ts
.
F
u
r
t
h
er
,
it
w
as
g
e
n
e
r
ated
th
at
th
is
s
y
s
te
m
is
co
m
p
atib
le
w
it
h
o
th
er
tec
h
n
iq
u
e
s
an
d
ca
n
b
e
ea
s
il
y
i
m
p
le
m
en
ted
u
s
i
n
g
o
th
er
m
et
h
o
d
s
s
u
ch
a
s
ca
se
-
b
ased
r
ea
s
o
n
in
g
,
d
ec
is
io
n
tr
ee
,
an
d
d
ata
m
i
n
i
n
g
m
et
h
o
d
s
.
S
y
s
te
m
ef
f
icie
n
c
y
ca
n
b
e
i
n
cr
ea
s
ed
b
y
m
ak
in
g
u
s
e
o
f
a
n
e
u
r
o
f
u
zz
y
s
y
s
te
m
a
n
d
r
o
u
g
h
s
et
s
.
O.
Op
e
y
e
m
i
et
al.
(
2
0
1
2
)
s
u
g
g
es
ted
a
n
o
v
el
ap
p
r
o
ac
h
f
o
r
ea
r
l
y
p
r
ed
ictio
n
o
f
h
ea
r
t
attac
k
u
s
in
g
a
n
e
u
r
o
-
f
u
zz
y
s
y
s
te
m
.
T
h
e
n
eu
r
o
-
f
u
zz
y
s
y
s
te
m
w
as
d
esi
g
n
ed
u
s
i
n
g
ei
g
h
t
in
p
u
t
v
ar
ia
b
les
an
d
o
n
e
o
u
tp
u
t
v
ar
iab
le
[
1
8
]
.
I
n
itiall
y
,
th
e
d
ataset
u
s
ed
w
as
e
x
tr
ac
ted
f
r
o
m
a
d
atab
ase,
an
d
t
h
en
t
h
e
in
itial
f
u
zz
y
lo
g
ic
s
y
s
te
m
was
g
e
n
er
ated
.
T
h
e
n
et
w
o
r
k
w
as
tr
ai
n
ed
w
it
h
a
s
et
o
f
tr
ain
ed
d
ata
an
d
v
alid
atio
n
is
p
er
f
o
r
m
ed
.
An
o
u
tp
u
t
o
f
th
e
s
y
s
te
m
w
as
d
esig
n
ed
in
s
u
c
h
a
w
a
y
t
h
at
p
atien
t
ca
n
u
s
e
i
t
p
er
s
o
n
all
y
.
B
ased
o
n
th
e
v
al
u
es
(
s
y
m
p
to
m
s
p
r
o
v
id
ed
b
y
p
atien
t)
s
u
p
p
lied
,
th
e
s
y
s
te
m
w
il
l
ab
le
to
p
r
ed
ict
th
e
r
is
k
lev
el
o
f
a
p
atien
t.
T
h
e
r
es
u
lt
o
f
p
r
o
p
o
s
ed
d
esig
n
ed
s
y
s
te
m
ac
h
ie
v
es
ac
c
u
r
ac
y
9
0
%
an
d
it
is
in
f
er
r
ed
f
r
o
m
r
es
u
lts
t
h
at
n
e
u
r
o
-
f
u
zz
y
m
o
d
el
is
s
u
itab
le
a
n
d
f
ea
s
ib
le
to
b
e
u
s
ed
a
s
a
s
u
p
p
o
r
tiv
e
to
o
l
f
o
r
d
is
ea
s
e
d
iag
n
o
s
i
s
.
Use
f
u
ln
e
s
s
o
f
f
u
zz
y
-
n
e
u
r
al
al
g
o
r
ith
m
tec
h
n
iq
u
es
f
o
r
p
r
ed
ictio
n
o
f
v
ar
io
u
s
d
is
ea
s
es
as
w
e
ll
a
s
to
d
eter
m
in
e
cr
itic
al
s
ta
g
e
o
f
p
atie
n
ts
i
n
m
ed
ica
l
d
iag
n
o
s
is
,
ca
n
b
e
u
s
ed
to
p
r
o
v
id
e
ti
m
el
y
r
e
m
e
d
ial
ac
tio
n
s
a
n
d
it
ca
n
p
r
ev
en
t
a
m
aj
o
r
d
am
ag
e
to
h
ea
lt
h
o
f
p
atie
n
ts
,
w
a
s
d
em
o
n
s
tr
ated
b
y
K.
Keta
l
e
t
al.
(
2
0
1
4
)
[
2
0
]
.
T
h
e
p
u
r
p
o
s
e
o
f
t
h
is
s
t
u
d
y
i
s
to
e
v
al
u
ate
in
cr
ea
s
i
n
g
u
s
ag
e
o
f
f
u
zz
y
n
eu
r
al
n
et
w
o
r
k
a
n
d
FP
GA
-
b
ased
i
m
p
le
m
e
n
tatio
n
ca
n
b
e
u
s
ed
as
an
e
x
p
er
t
s
y
s
te
m
f
o
r
p
r
ed
ictin
g
v
ar
io
u
s
p
h
y
s
io
lo
g
ical
d
i
s
ea
s
es.
T
h
e
d
esig
n
o
f
v
ar
io
u
s
f
u
zz
y
n
eu
r
al
al
g
o
r
ith
m
s
w
as
p
r
ese
n
ted
s
u
ch
as
b
ac
k
p
r
o
p
ag
at
io
n
,
in
v
er
s
e
d
ela
y
ed
f
u
n
ctio
n
an
d
ti
m
e
a
v
er
ag
i
n
g
t
y
p
es
ar
e
f
r
eq
u
en
t
to
p
r
ed
ict
a
lev
el
o
f
v
ar
io
u
s
d
is
ea
s
es.
A
n
atte
m
p
t
w
as
m
ad
e
to
ex
p
lain
w
h
y
s
m
ar
t
t
y
p
e
p
r
ed
ictio
n
s
y
s
te
m
s
s
u
ch
as
FP
GA
,
m
o
s
tl
y
u
s
ed
b
y
d
o
cto
r
s
to
p
r
o
v
id
e
a
c
o
m
p
let
e
s
m
ar
t
s
o
lu
tio
n
f
o
r
th
e
p
r
ed
i
ctio
n
o
f
an
y
d
is
ea
s
e.
An
in
te
g
r
ated
ap
p
r
o
ac
h
f
o
r
d
etec
tio
n
o
f
g
lau
co
m
a
w
a
s
ca
r
r
ied
u
s
i
n
g
a
n
ad
ap
tiv
e
n
e
u
r
o
-
f
u
zz
y
in
f
er
en
ce
s
y
s
te
m
b
y
M.
Hu
a
n
g
et
a
l.
(
2
0
0
7
)
[
1
9
]
.
T
h
e
m
ai
n
o
b
j
ec
tiv
e
o
f
th
is
w
o
r
k
w
as
to
d
ev
elo
p
an
au
to
m
ated
clas
s
i
f
ier
b
ased
o
n
ad
ap
tiv
e
n
eu
r
o
f
u
zz
y
in
f
er
en
ce
s
y
s
te
m
,
to
d
if
f
er
en
tiate
b
et
w
ee
n
n
o
r
m
al
an
d
g
l
au
co
m
ato
u
s
e
y
es
f
r
o
m
th
e
r
esu
lt
s
o
b
tain
ed
b
y
q
u
an
tita
tiv
e
e
v
alu
a
tio
n
o
f
s
u
m
m
ar
y
d
ata
r
ep
o
r
ts
o
f
th
e
Stra
tu
s
o
p
tical
co
h
er
en
ce
to
m
o
g
r
ap
h
y
(
OC
T
)
in
T
aiw
a
n
C
h
i
n
ese
p
o
p
u
latio
n
.
I
n
th
i
s
s
t
u
d
y
d
ec
is
io
n
m
a
k
i
n
g
w
a
s
p
er
f
o
r
m
ed
in
t
w
o
s
ta
g
es;
f
ea
t
u
r
es
ar
e
s
elec
ted
u
s
i
n
g
an
o
r
th
o
g
o
n
al
ar
r
a
y
a
n
d
th
e
n
tr
ain
i
n
g
is
p
er
f
o
r
m
ed
u
s
in
g
b
ac
k
p
r
o
p
ag
atio
n
g
r
ad
ien
t
m
et
h
o
d
in
co
m
b
i
n
atio
n
w
it
h
a
lea
s
t
s
q
u
a
r
e
m
eth
o
d
.
I
t
is
i
n
v
est
ig
ated
t
h
at
w
it
h
s
tr
atu
s
O
C
T
p
ar
am
et
er
as
in
p
u
t,
A
NFI
S
g
en
er
ate
s
b
etter
r
esu
lt
s
f
o
r
d
is
cr
i
m
i
n
ati
n
g
b
et
w
ee
n
g
la
u
co
m
ato
u
s
an
d
n
o
r
m
al
e
y
e
s
.
T
h
er
ef
o
r
e,
u
s
e
o
f
ad
ap
tiv
e
n
eu
r
o
-
f
u
zz
y
in
f
er
e
n
ce
s
y
s
te
m
is
p
r
ef
er
ab
le
s
i
n
ce
o
u
tp
u
t
co
n
clu
d
es
th
e
if
-
t
h
e
n
r
u
le
s
an
d
m
e
m
b
er
s
h
i
p
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
5
,
No
.
2
,
J
u
n
e
2
0
1
6
:
55
–
63
58
f
u
n
ctio
n
s
,
w
h
ic
h
en
h
an
ce
s
th
e
r
ea
d
a
b
ilit
y
o
f
t
h
e
o
u
tp
u
t.
A
s
u
r
v
e
y
o
n
t
h
e
ap
p
licatio
n
o
f
f
u
zz
y
lo
g
ic
i
n
m
ed
ica
l
d
iag
n
o
s
i
s
w
as
p
er
f
o
r
m
ed
b
y
V.
P
r
asath
et
al.
(
2
0
1
3
)
[
4
]
.
T
h
e
au
th
o
r
s
u
r
v
e
y
ed
th
at
v
ar
i
o
u
s
clin
ical
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
h
a
v
e
b
ee
n
co
n
s
tr
u
cted
v
ia
t
h
e
aid
o
f
ar
tif
icia
l
i
n
telli
g
e
n
ce
a
n
d
ar
e
w
id
el
y
ac
ce
p
ted
i
n
h
o
s
p
itals
,
cl
in
ic
s
f
o
r
m
a
k
in
g
d
ec
is
io
n
s
.
T
h
is
s
y
s
te
m
s
ee
m
s
to
b
e
d
esig
n
ed
i
n
s
u
c
h
a
w
a
y
t
h
at
t
h
e
y
h
a
v
e
th
e
ab
ilit
y
to
th
in
k
lo
g
icall
y
a
n
d
to
d
ea
l
w
it
h
ap
p
r
o
x
i
m
ate
r
ea
s
o
n
i
n
g
.
T
h
is
p
ap
er
p
r
esen
t
s
a
p
p
licatio
n
o
f
f
u
zz
y
lo
g
ic
in
m
ed
ical
f
ield
s
u
ch
a
s
tu
b
er
cu
lo
s
i
s
,
ca
n
ce
r
,
i
m
a
g
e
an
d
s
ig
n
al
p
r
o
ce
s
s
in
g
,
ap
h
as
ia,
p
h
ar
m
ac
y
,
h
ea
r
t
d
is
ea
s
es,
ast
h
m
a,
d
iab
etes,
m
alar
ia,
h
y
p
o
th
y
r
o
id
is
m
,
HI
V,
ar
th
r
itis
,
an
e
s
t
h
esia
an
d
m
en
i
g
io
m
a.
T
h
e
au
th
o
r
co
n
clu
d
es
t
h
at
f
u
zz
y
lo
g
ic
s
y
s
te
m
p
r
o
v
id
es
a
m
ea
n
s
f
o
r
en
ca
p
s
u
lati
n
g
th
e
s
u
b
j
ec
tiv
e
d
ec
is
i
o
n
-
m
a
k
in
g
p
r
o
ce
s
s
s
u
itab
le
f
o
r
co
m
p
u
ter
i
m
p
le
m
en
tatio
n
.
So
f
t
co
m
p
u
ti
n
g
is
a
co
m
b
i
n
atio
n
o
f
m
eth
o
d
o
lo
g
ies
w
h
ich
w
o
r
k
s
s
y
n
er
g
i
s
ticall
y
a
n
d
p
r
o
v
id
es
f
lex
ib
le
i
n
f
o
r
m
atio
n
p
r
o
ce
s
s
i
n
g
p
o
ten
tial
f
o
r
h
a
n
d
li
n
g
u
n
ce
r
tain
s
it
u
ati
o
n
s
.
A
.
Yar
d
i
m
ci
(
2
0
0
9
)
s
u
r
v
e
y
ed
o
n
v
ar
io
u
s
s
o
f
t
co
m
p
u
ti
n
g
tec
h
n
iq
u
es
i
n
t
h
e
m
ed
icin
a
l
f
ield
an
d
ai
m
s
to
e
x
p
lai
n
b
r
ief
l
y
ab
o
u
t
v
ar
io
u
s
s
o
f
t
co
m
p
u
tin
g
m
et
h
o
d
o
lo
g
ies
b
et
w
ee
n
y
ea
r
s
2
0
0
0
an
d
2
0
0
8
[
1
]
.
I
n
th
is
p
ap
er
r
esear
ch
w
o
r
k
r
esear
ch
w
o
r
k
o
n
ME
DL
I
NE
w
as
e
x
p
lai
n
ed
.
T
h
e
b
asic
s
t
u
d
y
i
n
v
o
l
v
es
th
e
c
u
r
r
en
t
ele
m
e
n
ts
o
f
s
o
f
t
co
m
p
u
ti
n
g
,
d
if
f
er
e
n
t
m
ec
h
an
i
s
m
s
i
m
p
le
m
e
n
ted
in
s
o
f
t
co
m
p
u
tin
g
tech
n
iq
u
es
an
d
to
estab
lis
h
a
g
u
id
e
w
h
ic
h
h
elp
to
f
o
r
ec
ast
t
h
e
f
u
tu
r
e
d
ev
elo
p
m
e
n
ts
o
f
s
o
f
t
co
m
p
u
ti
n
g
in
m
ed
ici
n
e.
F
u
r
th
er
,
u
s
e
o
f
s
o
f
t
co
m
p
u
tin
g
m
et
h
o
d
s
i
n
a
w
id
e
r
a
n
g
e
o
f
f
ield
s
s
u
c
h
as
i
m
ag
i
n
g
,
cla
s
s
i
f
icatio
n
,
d
iag
n
o
s
i
s
,
p
r
ed
ictio
n
an
d
co
n
tr
o
l
i
n
m
ed
icin
e
w
a
s
s
u
g
g
ested
.
Data
m
in
i
n
g
s
o
lu
tio
n
f
o
r
th
e
d
ia
g
n
o
s
is
o
f
tu
b
er
cu
lo
s
is
b
y
T
.
Uca
r
et
al.
(
2
0
1
3
)
w
a
s
d
ev
elo
p
ed
f
o
r
p
r
o
v
id
in
g
d
ec
i
s
i
o
n
s
u
p
p
o
r
t
to
tu
b
er
cu
lo
s
i
s
r
esear
ch
er
s
[
1
4
]
.
T
h
e
p
u
r
p
o
s
ed
tech
n
iq
u
e
u
s
ed
ad
ap
tiv
e
n
eu
r
o
f
u
zz
y
in
f
er
en
c
e
s
y
s
te
m
a
n
d
r
o
u
g
h
s
e
ts
t
h
at
m
ak
e
s
a
d
iag
n
o
s
is
o
f
t
u
b
er
cu
lo
s
is
as
ac
cu
r
ate
a
s
p
o
s
s
ib
le.
T
h
is
ap
p
r
o
ac
h
h
elp
s
in
d
ec
id
in
g
w
h
et
h
er
it
is
r
ea
s
o
n
ab
le
to
s
tar
t
t
r
ea
t
m
e
n
t
o
n
s
u
s
p
ec
ted
p
atien
t
s
w
it
h
o
u
t
w
a
iti
n
g
f
o
r
ex
ac
t
m
e
d
ical
test
r
esu
lts
.
E
x
p
er
i
m
e
n
t
al
r
esu
lts
s
h
o
w
th
at
u
s
e
o
f
S
u
g
e
n
o
-
t
y
p
e
A
NFI
S
class
i
f
ies
t
h
e
i
n
s
ta
n
ce
s
w
it
h
a
n
ac
c
u
r
ac
y
o
f
9
7
%,
w
h
er
ea
s
r
o
u
g
h
s
e
ts
d
o
s
a
m
e
clas
s
i
f
icati
o
n
w
it
h
a
n
ac
c
u
r
ac
y
o
f
9
2
%.
I
t
i
s
i
n
f
er
r
ed
f
r
o
m
ab
o
v
e
liter
at
u
r
e
s
u
r
v
e
y
o
n
f
u
zz
y
lo
g
ic
th
at
t
h
e
y
ar
e
s
u
cc
es
s
f
u
l
l
y
ap
p
lied
i
n
m
a
n
y
m
ed
ical
f
ield
s
f
o
r
d
iag
n
o
s
i
n
g
an
d
m
o
n
i
to
r
in
g
o
f
v
ar
io
u
s
d
is
ea
s
es.
I
n
th
i
s
w
o
r
k
,
f
u
zz
y
r
u
les
ar
e
ap
p
lied
to
d
eter
m
in
e
t
h
e
p
r
o
b
ab
ilit
y
o
f
lu
n
g
i
n
f
ec
tio
n
.
3.
F
U
Z
Z
Y
D
I
A
G
NO
S
T
I
C
D
E
CIS
I
O
N
SUPP
O
RT
S
YST
E
M
3
.
1
.
P
ro
po
s
ed
F
uzzy
M
edica
l D
ia
g
no
s
is
Sy
s
t
e
m
T
h
is
s
ec
tio
n
d
escr
ib
es
th
e
ap
p
r
o
ac
h
ad
o
p
ted
in
d
ev
elo
p
in
g
th
e
o
v
er
all
f
r
a
m
e
w
o
r
k
f
o
r
a
m
ed
ical
d
iag
n
o
s
i
s
s
y
s
te
m
o
f
a
lu
n
g
i
n
f
ec
tio
n
.
T
h
e
f
r
a
m
e
w
o
r
k
co
m
p
r
i
s
es o
f
t
h
r
ee
m
ai
n
co
m
p
o
n
e
n
t
s
:
k
n
o
w
led
g
e
-
b
ased
,
f
u
zz
y
i
n
f
er
en
ce
s
y
s
te
m
a
n
d
f
u
zz
if
ied
v
al
u
e
a
s
s
h
o
w
n
i
n
“Fig
u
r
e.
2
”.
T
h
is
s
y
s
te
m
w
il
l
o
f
f
er
p
o
ten
t
ial
ass
is
tan
ce
to
m
ed
ical
p
r
ac
titi
o
n
er
s
an
d
h
ea
lth
ca
r
e
s
ec
to
r
i
n
m
ak
in
g
a
p
r
o
m
p
t d
ec
is
io
n
o
f
l
u
n
g
i
n
f
ec
tio
n
.
3
.
2
.
I
dentif
ica
t
io
n P
a
ra
m
et
er
I
t
is
ess
e
n
tial
to
tak
e
i
n
to
co
n
s
id
er
atio
n
o
f
all
s
y
m
p
to
m
s
th
a
t
p
lay
s
a
s
ig
n
i
f
ica
n
t
r
o
le
in
ca
u
s
in
g
l
u
n
g
in
f
ec
tio
n
[
2
3
]
.
T
ak
e
th
e
s
e
asp
ec
ts
i
n
to
co
n
s
id
er
atio
n
f
o
r
th
e
p
u
r
p
o
s
e
o
f
t
h
i
s
s
t
u
d
y
,
a
s
et
o
f
i
n
p
u
t
an
d
o
u
tp
u
t
p
ar
am
eter
s
tak
e
n
i
n
to
ac
c
o
u
n
t
h
av
e
b
ee
n
l
is
ted
i
n
tab
le
1
.
Fig
u
r
e
2
.
Fra
m
e
w
o
r
k
o
f
f
u
zz
y
s
y
s
te
m
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
E
ffective
A
n
a
lysi
s
o
f Lu
n
g
I
n
fe
ctio
n
u
s
in
g
F
u
z
z
y
R
u
les
(
N
a
vn
ee
t W
a
lia
)
59
3
.
3
.
I
dentif
ica
t
io
n P
a
ra
m
et
er
I
t
is
ess
e
n
tial
to
tak
e
i
n
to
co
n
s
id
er
atio
n
o
f
all
s
y
m
p
to
m
s
th
a
t
p
lay
s
a
s
ig
n
i
f
ica
n
t
r
o
le
in
ca
u
s
in
g
l
u
n
g
in
f
ec
tio
n
[
2
3
]
.
T
ak
e
th
e
s
e
asp
ec
ts
i
n
to
co
n
s
id
er
atio
n
f
o
r
th
e
p
u
r
p
o
s
e
o
f
t
h
i
s
s
t
u
d
y
,
a
s
et
o
f
i
n
p
u
t
an
d
o
u
tp
u
t
p
ar
am
eter
s
tak
e
n
i
n
to
ac
co
u
n
t
h
av
e
b
ee
n
l
is
ted
i
n
tab
le
1
.
T
ab
le
1
.
P
ar
am
eter
s
a
n
d
its
co
r
r
esp
o
n
d
in
g
f
u
n
ctio
n
s
3
.
4
.
Cho
ice
o
f
M
e
m
bers
hip
F
u
nc
t
io
n
Me
m
b
er
s
h
ip
f
u
n
ctio
n
s
ar
e
ch
o
s
en
f
o
r
ea
ch
v
alu
e
s
o
f
t
h
e
in
p
u
t
p
ar
am
e
ter
.
A
s
e
lectio
n
o
f
ap
p
r
o
p
r
iate
m
e
m
b
er
s
h
ip
v
al
u
e
f
o
r
e
v
er
y
v
alu
e
o
f
i
n
p
u
t
an
d
o
u
tp
u
t
p
la
y
s
a
v
ital
r
o
le
in
m
ap
p
in
g
e
f
f
icien
c
y
o
f
a
s
y
s
te
m
.
T
h
e
d
eg
r
ee
an
in
p
u
t
b
elo
n
g
s
t
o
a
f
u
zz
y
s
et
is
d
en
o
ted
b
y
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
b
et
w
ee
n
0
an
d
1
.
A
p
ar
t
f
r
o
m
th
ese
t
h
e
n
u
m
b
er
o
f
m
e
m
b
er
s
h
ip
f
u
n
c
tio
n
s
,
a
n
u
m
b
er
o
f
o
t
h
er
co
r
r
esp
o
n
d
en
ce
f
ac
to
r
n
e
ed
to
b
e
tak
en
in
to
ac
co
u
n
t.
T
h
ese
f
ac
to
r
s
i
n
cl
u
d
e
th
e
t
y
p
e,
p
ar
a
m
e
ter
,
ag
g
r
eg
atio
n
o
p
er
ato
r
,
in
f
er
e
n
ce
o
p
er
ato
r
,
ty
p
e
o
f
f
u
zz
if
ica
tio
n
a
n
d
d
ef
u
zz
if
ica
ti
o
n
u
s
ed
.
O
n
o
b
s
er
v
atio
n
o
f
b
eh
av
io
r
al
c
h
ar
ac
ter
is
tic
s
o
f
e
ac
h
f
u
zz
y
v
ar
iab
le
en
co
u
n
ter
ed
in
a
p
r
o
b
le
m
is
r
ep
r
esen
ted
b
y
u
s
i
n
g
tr
ian
g
u
lar
an
d
tr
ap
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
as
s
h
o
w
n
i
n
“
Fi
g
u
r
e
3
”
an
d
“
F
ig
u
r
e
4
”.
Fig
u
r
e
3
.
T
r
ian
g
u
lar
Me
m
b
er
s
h
ip
Fu
n
ctio
n
Fig
u
r
e
4
.
T
r
a
p
ez
o
id
al
Me
m
b
er
s
h
ip
Fu
n
ctio
n
A
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
r
elat
ed
w
i
th
p
ar
ticu
lar
f
u
zz
y
s
et
m
ap
s
a
n
in
p
u
t
v
al
u
e
to
its
a
p
p
r
o
p
r
iate
m
e
m
b
er
s
h
ip
v
a
lu
e
a
n
d
its
v
alu
e
m
u
s
t b
e
in
[
0
,
1
]
.
Fu
zz
y
s
et
A
i
n
X
is
d
e
f
in
ed
as
s
et
o
f
o
r
d
er
ed
p
air
s
:
A
=
{
x
,
µ
A
(
x
)
,
x
€
X}
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
5
,
No
.
2
,
J
u
n
e
2
0
1
6
:
55
–
63
60
µA
(
x
)
,
is
ca
lled
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
o
f
x
i
n
A
.
f
u
zz
y
s
e
t
is
a
s
et
w
it
h
o
u
t
a
cr
i
s
p
v
al
u
e,
clea
r
l
y
d
ef
in
ed
a
b
o
u
n
d
ar
y
.
I
t
co
n
t
ain
s
ele
m
e
n
ts
w
it
h
t
h
e
o
n
l
y
p
ar
tial
d
eg
r
ee
o
f
m
e
m
b
er
s
h
i
p
.
T
h
e
tr
ian
g
u
lar
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
c
u
r
v
e
i
s
f
u
n
ctio
n
o
f
t
h
r
ee
v
ar
iab
les
p
,
q
,
r
in
x
-
a
x
is
w
h
er
e
p
,
r
ar
e
“f
ee
t
v
al
u
es”
r
esp
ec
tiv
el
y
,
h
av
in
g
m
e
m
b
er
s
h
ip
d
eg
r
ee
ze
r
o
an
d
q
is
th
e
“
p
ea
k
v
alu
e”
w
h
o
s
e
m
e
m
b
er
s
h
ip
d
eg
r
ee
is
o
n
e.
T
r
a
p
ez
o
id
al
m
e
m
b
er
s
h
ip
f
u
n
c
tio
n
is
r
ep
r
esen
ted
b
y
u
s
in
g
f
o
u
r
v
ar
iab
les
p
,
q
,
r
an
d
s
i
n
x
-
ax
is
w
h
er
e
p
a
n
d
s
lo
ca
te
“f
ee
t”
o
f
tr
ap
ez
o
id
Gau
s
s
ian
,
Sig
m
o
id
a
n
d
o
th
er
t
y
p
es
o
f
li
n
ea
r
f
u
n
ctio
n
s
ca
n
also
b
e
u
s
e
f
u
l
to
d
is
tin
g
u
is
h
t
h
e
f
u
zz
y
s
ets.
No
n
-
lin
ea
r
f
u
n
ct
io
n
s
ca
n
al
s
o
b
e
u
s
ed
,
b
u
t
th
e
y
w
i
ll
f
u
r
t
h
er
ca
u
s
e
co
m
p
u
tatio
n
al
co
m
p
le
x
it
y
to
th
e
al
g
o
r
ith
m
.
4.
SYST
E
M
M
O
DE
L
L
I
NG
A
ND
WO
RK
I
N
G
Fu
zz
y
lo
g
ic
w
a
s
th
e
to
o
l
u
s
e
d
to
d
ev
elo
p
t
h
e
al
g
o
r
ith
m
o
f
t
h
e
s
y
s
te
m
f
o
r
d
eter
m
in
in
g
th
e
ac
t
u
a
l
o
u
tp
u
t.
By
u
s
i
n
g
f
u
zz
y
,
r
e
s
ea
r
ch
er
w
ill
ab
le
to
clas
s
if
y
t
h
e
i
n
t
en
s
it
y
o
f
ea
c
h
s
y
m
p
to
m
ac
co
r
d
in
g
to
d
escr
ip
tio
n
p
r
escr
ib
ed
b
y
p
u
l
m
o
n
ar
y
p
h
y
s
ician
s
.
T
h
is
p
ap
er
is
a
s
i
m
u
lati
o
n
b
ased
p
ap
er
an
d
th
e
m
ed
ic
al
d
iag
n
o
s
i
s
s
y
s
te
m
is
p
er
f
o
r
m
ed
o
n
th
e
f
u
zz
y
lo
g
i
c
m
o
d
el
b
y
u
s
in
g
M
A
T
L
A
B
2
0
1
3
b
s
o
f
t
w
ar
e
p
ac
k
ag
e
d
ev
elo
p
ed
b
y
Ma
th
w
o
r
k
s
I
n
c.
“Fig
u
r
e
.
5
”
s
h
o
w
s
t
h
e
c
o
m
m
a
n
d
w
i
n
d
o
w
o
f
M
A
T
L
A
B
s
o
f
t
w
ar
e
w
h
er
e
w
e
u
s
e
w
r
ite
co
m
m
an
d
s
to
o
p
er
ate
g
iv
en
s
e
t o
f
r
u
le
s
w
h
il
e
p
r
o
g
r
am
m
i
n
g
[
2
4
]
.
Fig
u
r
e
5
.
C
o
m
m
an
d
w
i
n
d
o
w
v
ie
w
Fig
u
r
e
6
.
Fin
e
t
u
n
ed
m
e
m
b
er
s
h
ip
p
lo
t f
o
r
C
o
u
g
h
R
u
leb
ase
m
eth
o
d
i
s
d
esi
g
n
e
d
an
d
i
m
p
le
m
e
n
ted
to
d
eter
m
i
n
e
t
h
e
p
r
o
b
ab
ilit
y
o
f
l
u
n
g
i
n
f
ec
tio
n
p
o
p
u
lated
b
y
r
u
les
m
ad
e
f
o
r
ab
o
v
e
in
p
u
t
s
.
F
u
zz
y
lo
g
ic
e
m
p
lo
y
s
th
e
o
u
tp
u
t
o
f
t
h
e
r
u
l
e
-
b
ased
m
e
th
o
d
an
d
ca
lcu
late
s
t
h
e
r
an
g
e
o
f
s
co
r
e
s
in
o
r
d
er
to
d
eter
m
i
n
e
f
i
n
al
o
u
tp
u
t
[
2
2
]
.
Def
u
zz
i
f
icatio
n
p
r
o
ce
s
s
is
u
s
ed
to
f
o
r
m
u
late
t
h
e
r
u
les
th
at
co
r
r
esp
o
n
d
to
d
if
f
er
en
t
co
n
d
itio
n
s
d
eter
m
i
n
ed
b
y
th
e
m
atr
i
x
.
S
y
m
p
to
m
s
u
s
ed
to
d
eter
m
in
e
th
e
p
r
o
b
ab
ilit
y
o
f
l
u
n
g
i
n
f
ec
tio
n
li
k
e
a
co
u
g
h
,
h
ae
m
o
p
t
y
s
is
w
er
e
c
lass
if
ied
as
lo
w
r
is
k
,
m
ed
iu
m
r
is
k
,
a
n
d
h
i
g
h
r
is
k
.
I
n
t
h
e
f
o
r
m
u
latio
n
o
f
f
u
zz
y
s
ets,
th
e
r
a
n
g
e
s
o
f
i
n
p
u
t
a
n
d
o
u
tp
u
t
v
ar
i
ab
le
s
y
m
p
to
m
s
ar
e
id
en
ti
f
ied
an
d
a
co
r
r
esp
o
n
d
i
n
g
r
a
n
g
e
o
f
m
ea
n
in
g
f
u
l
lin
g
u
i
s
tic
s
tates
ar
e
s
elec
ted
b
y
e
x
p
r
ess
in
g
w
it
h
ap
p
r
o
p
r
iate
f
u
zz
y
lo
g
ic
f
o
r
ea
ch
s
y
m
p
to
m
.
“
Fi
g
u
r
e
6
”
s
h
o
w
s
f
i
n
e
tu
n
ed
m
e
m
b
er
s
h
ip
f
u
n
cti
o
n
p
lo
t f
o
r
a
co
u
g
h
s
h
o
w
i
n
g
a
n
u
m
b
er
o
f
d
a
y
’
s
p
a
tien
t s
u
f
f
er
in
g
f
r
o
m
a
co
u
g
h
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
r
eq
u
ir
es
th
e
p
h
y
s
icia
n
to
in
p
u
t
all
n
ec
ess
ar
y
s
co
r
es
o
f
s
y
m
p
to
m
s
n
ee
d
ed
in
o
r
d
er
to
m
ee
t
t
h
e
r
eq
u
ir
ed
o
u
tp
u
t.
S
y
s
te
m
i
n
p
u
t
s
y
m
p
to
m
s
co
r
es
w
it
h
co
r
r
esp
o
n
d
in
g
l
ev
el
o
f
in
ten
s
it
y
as
f
o
llo
w
s
:
C
o
u
g
h
d
u
r
atio
n
[
1
0
5
0
]
,
Hae
m
o
p
t
y
s
is
[
0
1
]
A
s
a
m
p
le
c
h
o
ice
o
f
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
a
n
d
its
v
alu
e
s
h
a
s
b
ee
n
s
h
o
w
n
b
elo
w
:
Na
m
e
=
‘
C
o
u
g
h
’
R
an
g
e
=
[
1
0
5
0
]
Nu
m
MF
s
=
3
MF1
=
‘
L
o
w
’
:
‘
tr
ap
m
f
’
,
[
1
0
1
0
1
7
.
5
2
5
]
MF2
=
‘
Me
d
’
:
‘
tr
i
m
f
’
,
[
2
0
3
0
4
0
]
MF3
=
‘
Hi
g
h
’
:
‘
tr
ap
m
f
’
,
[
3
5
4
2
.
5
5
0
5
0
]
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
E
ffective
A
n
a
lysi
s
o
f Lu
n
g
I
n
fe
ctio
n
u
s
in
g
F
u
z
z
y
R
u
les
(
N
a
vn
ee
t W
a
lia
)
61
“
Fi
g
u
r
e
7
”
s
h
o
w
s
f
i
n
ed
t
u
n
e
d
f
u
zz
y
r
elat
io
n
s
o
f
h
ae
m
o
p
t
y
s
i
s
s
h
o
w
i
n
g
m
e
m
b
er
s
h
ip
to
d
if
f
er
en
t
ca
teg
o
r
ies
(
lo
w
,
m
ed
,
h
i
g
h
)
.
A
s
a
m
p
le
c
h
o
ice
o
f
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
a
n
d
its
v
a
l
u
es
f
o
r
h
ae
m
o
p
t
y
s
is
h
as
b
ee
n
s
h
o
w
n
b
elo
w
:
Na
m
e
=
‘
Hae
m
o
p
t
y
s
i
s
’
R
an
g
e
=
[
0
1
]
Nu
m
MF
s
=
3
MF1
=
‘
L
o
w
’
:
‘
tr
i
m
f
’
,
[
0
0
.
1
5
3
]
MF2
=
‘
Me
d
’
:
‘
tr
i
m
f
’
,
[
0
.
2
0
.
5
0
.
8
]
MF3
=
‘
Hi
g
h
’
:
‘
tr
i
m
f
’
,
[
0
.
7
0
.
8
5
1
]
Af
ter
t
h
e
g
r
ap
h
,
f
u
zz
y
s
ets
wer
e
th
en
i
n
ter
s
ec
ted
a
n
d
it
is
d
eter
m
in
ed
t
h
e
m
a
tr
ix
.
T
w
o
s
y
m
p
to
m
s
u
s
ed
ar
e
in
ter
s
ec
ted
an
d
it
d
es
cr
ib
es
o
n
e
o
u
tp
u
t
co
n
d
itio
n
.
T
h
e
m
atr
i
x
il
lu
s
tr
ates
th
e
i
n
ter
s
ec
tio
n
b
et
w
ee
n
t
w
o
s
y
m
p
to
m
s
.
Fo
r
ev
al
u
atio
n
o
f
r
u
les,
t
h
e
i
n
p
u
t
s
co
r
es
h
ad
u
n
d
er
g
o
n
e
d
ef
u
zz
i
f
icati
o
n
p
r
o
ce
s
s
.
Af
te
r
d
ef
u
zz
i
f
icatio
n
,
th
e
s
co
r
es
w
e
r
e
s
u
b
j
ec
ted
to
d
eter
m
in
e
a
v
a
lu
e
o
f
cr
is
p
o
u
tp
u
t.
B
elo
w
i
s
a
s
a
m
p
le
ill
u
s
tr
atio
n
o
f
in
p
u
t a
n
d
o
u
tp
u
t sco
r
es:
An
tece
d
en
t r
u
les:
an
tece
d
en
t1
=
m
i
n
(
co
u
g
h
lo
w
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
lo
w
_
m
f
(
f
i
n
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t2
=
m
i
n
(
co
u
g
h
lo
w
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
m
ed
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t3
=
m
i
n
(
co
u
g
h
lo
w
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
h
i
g
h
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t4
=
m
i
n
co
u
g
h
m
ed
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
lo
w_
m
f
(
f
i
n
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t5
=
m
i
n
(
co
u
g
h
m
ed
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
m
ed
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t6
=
m
i
n
(
co
u
g
h
m
ed
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
h
i
g
h
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t7
=
m
i
n
(
co
u
g
h
h
i
g
h
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
lo
w
_
m
f
(
f
i
n
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t
8
=
m
i
n
(
co
u
g
h
h
i
g
h
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
m
ed
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
an
tece
d
en
t9
=
m
i
n
(
co
u
g
h
h
i
g
h
_
m
f
(
f
i
n
d
(
x
==
co
u
g
h
)
)
,
h
a
m
h
i
g
h
_
m
f
(
f
in
d
(
y
==
h
a
m
o
p
t)
)
)
;
C
o
n
s
eq
u
en
t r
u
les:
co
n
s
eq
u
e
n
t1
=
in
f
elo
w
_
m
f
.
*
a
n
tece
d
en
t1
;
co
n
s
eq
u
e
n
t2
=
in
f
elo
w
_
m
f
.
*
a
n
tece
d
en
t2
;
co
n
s
eq
u
e
n
t
3
=
in
f
e
m
ed
lo
w
_
m
f
.
*
a
n
tece
d
en
t3
;
co
n
s
eq
u
e
n
t4
=
in
f
e
m
ed
lo
w
_
m
f
.
*
a
n
tece
d
en
t4
;
co
n
s
eq
u
e
n
t5
=
in
f
e
m
ed
_
m
f
.
*
an
tece
d
en
t5
;
co
n
s
eq
u
e
n
t6
=
in
f
e
m
ed
h
i
g
h
_
m
f
.
*
an
tece
d
en
t6
;
co
n
s
eq
u
e
n
t7
=
in
f
e
m
ed
h
i
g
h
_
m
f
.
*
an
tece
d
en
t7
;
co
n
s
eq
u
e
n
t8
=
in
f
eh
ig
h
_
m
f
.
*
a
n
tece
d
en
t8
;
co
n
s
eq
u
e
n
t9
=
in
f
eh
ig
h
_
m
f
.
*
a
n
tece
d
en
t9
;
Fig
u
r
e
7
.
Fin
e
t
u
n
ed
m
e
m
b
er
s
h
ip
p
lo
t f
o
r
Hae
m
o
p
t
y
s
is
Fig
u
r
e
8
.
C
o
n
s
eq
u
e
n
t r
u
lev
ie
w
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
5
,
No
.
2
,
J
u
n
e
2
0
1
6
:
55
–
63
62
Fig
u
r
e
9
.
Def
u
zz
i
f
ied
v
alu
e
“
Fi
g
u
r
e
8
”
illu
s
tr
ates
co
n
s
eq
u
en
t
f
u
zz
y
s
et
f
o
r
a
v
alu
e
o
f
h
ae
m
o
p
t
y
s
is
0
.
5
an
d
co
u
g
h
4
0
.
Up
o
n
en
ter
in
g
v
al
u
es
o
f
a
co
u
g
h
as
4
0
an
d
h
ae
m
o
p
t
y
s
i
s
as
0
.
5
,
th
e
s
y
s
te
m
g
e
n
er
ates
o
u
t
p
u
t
0
.
8
8
3
6
w
h
ich
co
r
r
esp
o
n
d
s
th
at
th
er
e
is
a
p
r
o
b
ab
ilit
y
o
f
lu
n
g
in
f
ec
tio
n
.
W
h
en
w
e
t
y
p
e
v
al
u
es
i
n
ed
ito
r
w
i
n
d
o
w
t
h
en
s
y
s
te
m
co
r
r
esp
o
n
d
s
to
d
ef
u
zz
if
y
a
v
al
u
e
w
h
ich
i
s
s
h
o
w
n
i
n
“
Fi
g
u
r
e
9
”.
5.
CO
NCLU
SI
O
N
I
n
th
i
s
p
ap
er
,
w
e
h
av
e
in
v
es
ti
g
ated
th
e
p
r
o
b
ab
ilit
y
o
f
o
cc
u
r
r
en
ce
o
f
l
u
n
g
i
n
f
ec
tio
n
u
s
in
g
a
r
an
d
o
m
n
u
m
b
er
o
f
in
p
u
t
s
f
o
r
th
e
lu
n
g
m
a
n
a
g
e
m
e
n
t
s
y
s
te
m
.
T
h
e
d
esi
g
n
o
f
f
u
zz
y
lo
g
ic
in
t
h
e
d
esig
n
o
f
s
u
ch
au
to
m
ated
s
y
s
te
m
g
iv
e
s
a
n
i
n
n
o
v
ati
v
e
a
n
d
p
r
o
f
ess
io
n
al
m
ea
n
s
o
f
l
u
n
g
in
f
ec
tio
n
d
iag
n
o
s
is
esp
ec
iall
y
in
ar
ea
s
w
h
er
e
th
e
in
f
ec
tio
n
i
s
in
t
h
e
w
id
e
s
p
r
ea
d
.
I
n
th
is
p
ap
er
,
w
e
f
o
r
m
ali
ze
m
ed
ical
en
ti
tie
s
as
f
u
zz
y
s
ets
an
d
f
o
r
m
alize
r
ea
s
o
n
in
g
u
s
i
n
g
r
u
le
-
b
ased
s
y
s
te
m
s
.
T
h
e
u
s
e
o
f
f
u
zz
y
lo
g
ic
in
t
h
e
d
esi
g
n
o
f
d
ia
g
n
o
s
tic
s
y
s
te
m
p
r
o
p
o
s
ed
in
th
is
p
ap
er
is
b
elie
v
ed
to
s
er
v
e
as
a
d
ep
en
d
ab
le
an
d
ch
ea
p
m
ea
n
s
o
f
tr
ea
tin
g
l
u
n
g
d
i
s
e
ases
.
F
u
r
th
er
m
o
r
e,
i
m
p
le
m
en
ta
tio
n
o
f
f
u
zz
y
lo
g
ic
p
r
o
v
id
es a
s
et
o
f
tech
n
iq
u
e
s
g
en
er
atin
g
a
r
eliab
le
s
o
lu
t
io
n
.
ACK
NO
WL
E
D
G
M
E
NT
Nav
n
ee
t
W
alia
au
th
o
r
w
is
h
e
s
to
ex
p
r
ess
h
er
s
i
n
ce
r
e
g
r
atitu
d
e
to
Mr
.
Har
s
u
k
h
p
r
ee
t
Sin
g
h
,
C
T
I
n
s
tit
u
te
o
f
T
ec
h
n
o
lo
g
y
a
n
d
R
esear
ch
,
J
alan
d
h
ar
f
o
r
g
u
id
i
n
g
th
r
o
u
g
h
o
u
t th
e
c
u
r
r
en
t r
esear
c
h
w
o
r
k
.
RE
F
E
R
E
NC
E
S
[1
]
A
Ya
rd
i
m
c
i,
Ap
p
li
c
a
t
io
n
s
o
f
S
o
ft
Co
mp
u
t
in
g
t
o
M
e
d
ica
l
Pro
b
lem
s
.
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
te
ll
ig
e
n
t
S
y
ste
m
s
De
sig
n
a
n
d
A
p
p
li
c
a
ti
o
n
s,
D
OI 1
0
.
1
1
0
9
/I
S
DA
.
2
0
0
9
.
1
6
8
,
2
0
0
9
.
[2
]
JE
M
a
iers
.
F
u
z
z
y
S
e
t
T
h
e
o
r
y
a
n
d
M
e
d
icin
e
.
IE
EE
T
r
a
n
s
.
1
9
8
5
:
3
2
5
-
3
2
9
.
[3
]
K
S
o
u
n
d
a
ra
ra
jan
.
Dia
g
n
o
stics
De
c
isio
n
S
u
p
p
o
rt
S
y
ste
m
f
o
r
T
u
b
e
rc
u
lo
sis
u
si
n
g
F
u
z
z
y
L
o
g
ic.
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
I
n
fo
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
&
S
e
c
u
rity
.
2
0
1
2
;
2
(
3
)
:
6
8
4
-
6
8
9
.
[4
]
V
P
ra
sa
th
,
N
L
a
k
sh
m
i,
M
Na
th
iy
a
,
N
Bh
a
r
a
th
a
n
,
NP
Ne
e
th
a
.
A
S
u
rv
e
y
o
n
th
e
A
p
p
li
c
a
ti
o
n
s
o
f
F
u
z
z
y
L
o
g
i
c
in
M
e
d
ica
l
Dia
g
n
o
sis
S
u
p
p
o
rt
S
y
ste
m
s
S
y
ste
m
s
De
c
isio
n
.
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
S
c
ien
ti
fi
c
&
En
g
in
e
e
rin
g
Res
e
a
rc
h
.
2
0
1
3
;
4
(
4
):
1
1
9
9
-
1
2
0
3
.
[5
]
X
Y
Dja
m
,
YH
Ki
m
b
i.
A
D
e
c
isio
n
S
u
p
p
o
r
t
S
y
s
te
m
f
o
r
T
u
b
e
rc
u
lo
sis
Dia
g
n
o
sis.
T
h
e
Pa
c
if
ic
J
o
u
rn
a
l
o
f
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
.
2
0
1
1
;
1
2
(2
)
:
4
1
0
-
4
2
5
.
[6
]
S
P
S
in
g
h
,
P
Jo
h
ri.
A
Re
v
i
e
w
o
f
Esti
m
a
ti
n
g
De
v
e
lo
p
m
e
n
t
T
i
m
e
a
n
d
Ef
f
o
rts
o
f
S
o
f
t
w
a
r
e
P
ro
jec
ts
b
y
Us
in
g
Ne
u
ra
l
Ne
t
w
o
rk
a
n
d
F
u
z
z
y
L
o
g
i
c
in
M
ATLA
B.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Ad
v
a
n
c
e
d
Res
e
a
rc
h
in
Co
m
p
u
t
e
r
S
c
ien
c
e
a
n
d
S
o
ft
w
a
re
En
g
in
e
e
rin
g
.
2
0
1
2
;
2
(
1
0
):
3
0
6
-
3
1
0
.
[7
]
P
DCR
Ja
y
a
r
a
th
n
a
,
J
V
W
ij
a
y
a
k
u
l
a
so
o
riy
a
,
S
R
Ko
d
it
u
w
a
k
k
u
.
F
u
z
z
y
L
o
g
i
c
a
n
d
Ne
u
ra
l
Ne
t
w
o
rk
Co
n
tro
l
S
y
ste
m
s
f
o
r
Ba
c
k
in
g
u
p
a
T
ru
c
k
a
n
d
a
T
ra
il
e
r.
In
t.
J
L
a
tes
t
T
re
n
d
s C
o
mp
u
ti
ng
.
2
0
1
1
;
3
:
3
7
0
-
3
7
7
,
2
0
1
1
.
[8
]
R
M
a
lh
o
tra,
N
S
i
n
g
h
,
Y
S
i
n
g
h
.
G
e
n
e
ti
c
A
l
g
o
rit
h
m
s :
Co
n
c
e
p
ts
,
De
sig
n
f
o
r
Op
ti
m
iza
ti
o
n
o
f
P
ro
c
e
ss
Co
n
tro
ll
e
rs
.
Ca
n
a
d
i
a
n
Ce
n
ter
o
f
S
c
ien
c
e
a
n
d
Ed
u
c
a
ti
o
n
.
2
0
1
1
;
4
(
2
)
:
39
-
54
.
[9
]
O
T
a
y
l
a
n
.
Co
m
p
u
ters
&
In
d
u
st
rial
En
g
in
e
e
rin
g
A
n
a
d
a
p
t
iv
e
n
e
u
r
o
-
f
u
z
z
y
m
o
d
e
l
f
o
r
p
re
d
icti
o
n
o
f
stu
d
e
n
t’s
a
c
a
d
e
m
ic
p
e
r
f
o
r
m
a
n
c
e
.
Co
mp
u
ter
s
&
In
d
u
stria
l
En
g
in
e
e
rin
g
,
El
s
e
v
ier
.
d
o
i:
1
0
.
1
0
1
6
/j
.
c
ie.2
0
0
9
.
0
1
.
0
1
9
.
2
0
0
9
;
57
:
732
-
7
4
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
E
ffective
A
n
a
lysi
s
o
f Lu
n
g
I
n
fe
ctio
n
u
s
in
g
F
u
z
z
y
R
u
les
(
N
a
vn
ee
t W
a
lia
)
63
[1
0
]
K
A
d
las
sn
ig
.
F
u
z
z
y
S
e
t
T
h
e
o
ry
i
n
M
e
d
ica
l
Dia
g
n
o
sis.
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
S
y
ste
ms
,
M
a
n
,
a
n
d
Cy
b
e
rn
e
ti
c
s.
1
9
8
6
:
260
-
2
6
5
.
[1
1
]
N
Wal
ia,
S
K
T
i
w
a
ri,
R
M
a
lh
o
tra.
De
sig
n
a
n
d
Id
e
n
ti
f
ica
ti
o
n
o
f
T
u
b
e
rc
u
lo
sis
u
sin
g
F
u
z
z
y
B
a
se
d
De
c
isio
n
S
u
p
p
o
rt
S
y
st
e
m
.
A
d
v
a
n
c
e
s in
Co
m
p
u
ter S
c
i
e
n
c
e
a
n
d
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
.
2
0
1
5
;
2
(
8
):
57
-
62
.
[1
2
]
M
A
S
Du
ra
i,
NCSN
Iy
e
n
g
a
r,
A
Ka
n
n
a
n
.
E
n
h
a
n
c
e
d
F
u
z
z
y
Ru
le
Ba
se
d
Dia
g
n
o
stic
M
o
d
e
l
f
o
r
L
u
n
g
Ca
n
c
e
r
u
sin
g
P
ri
o
rit
y
V
a
lu
e
s
.
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
p
u
ter
sc
ien
c
e
a
n
d
in
f
o
rm
a
ti
o
n
tec
h
n
o
lo
g
ies
.
2
0
1
1
;
2
(
2
):
7
0
7
-
7
1
0
,
2
0
1
1
.
[1
3
]
N
A
n
n
a
ls,
OF
Na
tu
ra
l.
De
c
isio
n
S
u
p
p
o
rt
S
y
ste
m
f
o
t
th
e
Id
e
n
ti
f
ica
t
io
n
o
f
T
u
b
e
rc
u
lo
sis
u
sin
g
Ne
u
ro
F
u
z
z
y
L
o
g
ic.
Nig
e
rian
A
n
n
a
ls
o
f
Na
tu
ra
l
S
c
ien
c
e
s.
2
0
1
2
;
12
(
1
):
12
-
20
.
[1
4
]
T
Uc
,
A
Ka
r
a
h
o
c
a
,
D
Ka
ra
h
o
c
a
.
T
u
b
e
rc
u
lo
sis
d
ise
a
se
d
iag
n
o
sis
b
y
u
sin
g
a
d
a
p
ti
v
e
n
e
u
ro
f
u
z
z
y
in
f
e
r
e
n
c
e
s
y
ste
m
a
n
d
ro
u
g
h
se
ts.
Ne
u
ra
l
C
o
m
p
u
t
&
A
p
p
li
c
.
DO
I
1
0
.
1
0
0
7
/s0
0
5
2
1
-
0
1
2
-
0
9
4
2
-
1
.
2
0
1
3
:
4
7
1
-
4
8
3
.
[1
5
]
JC
Ob
i,
AA
I
m
a
in
v
a
n
.
De
c
isio
n
S
u
p
p
o
rt
S
y
ste
m
f
o
r
th
e
In
telli
g
ien
t
Id
e
n
ti
f
ica
ti
o
n
o
f
A
lzh
e
i
m
e
r
u
si
n
g
Ne
u
ro
F
u
z
z
y
lo
g
ic.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
n
S
o
ft
Co
mp
u
ti
n
g
.
DO
I:
1
0
.
5
1
2
1
/i
jsc
.
2
0
1
1
.
2
2
0
3
,
2
0
1
1
;
2
(2
):
2
5
-
38
.
[1
6
]
K
Re
z
a
e
i
,
R
Ho
ss
e
in
i,
M
M
a
z
in
a
n
i.
A
F
u
z
z
y
In
f
e
re
n
c
e
S
y
ste
m
f
o
r
As
se
ss
m
e
n
t
o
f
t
h
e
S
e
v
e
rit
y
o
f
t
h
e
P
e
p
ti
c
Ulc
e
rs.
DOI
:
1
0
.
5
1
2
1
/cs
it
.
2
0
1
4
.
4
5
2
7
.
2
0
1
4
:
2
6
3
-
2
7
1
,
2
0
1
4
.
[1
7
]
K
L
a
v
a
n
y
a
,
M
A
S
Du
ra
i,
NC
S
r
i
m
a
n
,
N
Iy
e
n
g
a
r.
F
u
z
z
y
Ru
le
Ba
se
d
In
f
e
re
n
c
e
S
y
ste
m
f
o
r
De
tec
ti
o
n
a
n
d
Dia
g
n
o
sis
o
f
L
u
n
g
Ca
n
c
e
r.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
L
a
tes
t
T
re
n
d
s
in
C
o
mp
u
ti
n
g
.
2
0
1
1
;
2
:
1
6
5
-
1
7
1
.
[1
8
]
O
Op
e
y
e
m
i.
De
v
e
lo
p
m
e
n
t
o
f
Ne
u
ro
-
f
u
z
z
y
S
y
ste
m
f
o
r
Ea
rl
y
P
re
d
ictio
n
o
f
He
a
rt
A
tt
a
c
k
.
In
f
o
r
m
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
a
n
d
Co
m
p
u
ter S
c
ie
n
c
e
.
DO
I:
1
0
.
5
8
1
5
/i
ji
tcs
.
2
0
1
2
.
0
9
.
0
3
,
2
0
1
2
:
22
-
28
.
[1
9
]
M
Hu
a
n
g
.
G
lau
c
o
m
a
d
e
tec
ti
o
n
u
sin
g
a
d
a
p
ti
v
e
n
e
u
r
o
-
f
u
z
z
y
in
f
e
r
e
n
c
e
s
y
ste
m
.
Ex
p
e
rt
S
y
ste
m
s
w
it
h
A
p
p
li
c
a
ti
o
n
s.
El
se
v
ier
,
d
o
i:
1
0
.
1
0
1
6
/
j.
e
sw
a
.
2
0
0
5
.
1
2
.
0
1
0
.
2
0
0
7
;
3
2
:
4
5
8
-
4
6
8
.
[2
0
]
K
Ke
tan
.
A
p
p
li
c
a
ti
o
n
s
o
f
F
u
z
z
y
-
Ne
u
ra
l
a
n
d
F
P
G
A
f
o
r
P
re
d
icti
o
n
o
f
V
a
rio
u
s
Dise
a
se
s
-
A
su
rv
e
y
.
In
ter
n
a
ti
o
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
El
e
c
trica
l,
El
e
c
tro
n
ics
a
n
d
I
n
stru
me
n
ta
ti
o
n
E
n
g
in
e
e
rin
g
.
.
2
0
1
4
:
1
3
5
8
8
-
1
3
5
9
3
.
[2
1
]
A
RC
S
e
m
o
g
a
n
,
BD
Ge
ra
rd
o
.
A
Ru
le
-
Ba
se
d
Fu
zz
y
Dia
g
n
o
st
i
c
s
De
c
isio
n
S
u
p
p
o
rt
S
y
ste
m
fo
r
T
u
b
e
rc
u
lo
sis
.
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
S
o
f
tw
a
r
e
En
g
in
e
e
rin
g
Re
se
a
r
c
h
,
M
a
n
a
g
e
m
e
n
t
a
n
d
A
p
p
li
c
a
ti
o
n
s,
DO
I
1
0
.
1
1
0
9
/
S
ERA
.
2
0
1
1
.
3
0
,
2
0
1
1
.
[2
2
]
A
Ud
u
a
k
,
M
M
f
o
n
.
A
P
ro
p
o
se
d
F
u
z
z
y
F
ra
m
e
w
o
rk
f
o
r
Ch
o
lera
Dia
g
n
o
sis
a
n
d
M
o
n
it
o
rin
g
.
I
n
ter
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
Co
mp
u
ter
A
p
p
li
c
a
ti
o
n
s
.
2
0
1
3
;
82
(
17
);
1
-
10
.
[2
3
]
SK
A
n
a
n
d
,
R
Ka
l
p
a
n
a
,
S
Vijay
a
lak
sh
m
i,
S
Ha
rtl
e
y
,
B
Bo
u
c
h
o
m
e
u
n
ier.
De
sig
n
a
n
d
Im
p
lem
e
n
tatio
n
o
f
a
F
u
z
z
y
Ex
p
e
rt
S
y
ste
m
f
o
r
De
tec
ti
n
g
a
n
d
Esti
m
a
ti
n
g
th
e
Lev
e
l
o
f
A
sth
m
a
a
n
d
Ch
ro
n
ic
Ob
stru
c
ti
v
e
P
u
l
m
o
n
a
r
y
Dise
a
se
.
W
o
rld
Ap
p
li
e
d
S
c
ien
c
e
s Jo
u
r
n
a
l
.
DO
I:
1
0
.
5
8
2
9
/
id
o
si.w
a
sj.2
0
1
3
.
2
3
.
0
2
.
1
3
0
4
6
.
2
0
1
3
;
2
3
(2
):
2
1
3
-
2
2
3
.
[2
4
]
D
Ku
m
a
r,
S
P
a
rk
a
sh
,
P
K
Bh
a
t
ia,
H
Ka
u
r
.
Fu
zz
y
Ba
se
d
T
e
mp
e
ra
t
u
re
Co
n
tro
l
ler
Us
in
g
M
e
mb
e
rs
h
ip
Fu
n
c
t
io
n
s
I
n
Fu
zz
y
T
o
o
l
b
o
x
.
S
e
c
o
n
d
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
A
d
v
a
n
c
e
s
i
n
Co
m
p
u
ti
n
g
a
n
d
Co
m
m
u
n
ica
ti
o
n
E
n
g
in
e
e
rin
g
,
DO
I
1
0
.
1
1
0
9
/ICA
CCE.
2
0
1
5
.
9
0
,
2
0
1
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.