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Vo
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7
,
No
.
6
,
Dec
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b
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201
7
,
p
p
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3
6
8
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~
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6
9
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v7
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3691
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I
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I
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Vo
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7
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No
.
6
,
Dec
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b
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2
0
1
7
:
3
6
8
3
–
3
6
9
1
3684
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an
d
A
d
n
an
Sao
u
t[
5
]
co
n
d
u
cted
a
r
esear
ch
ca
ll
“
F
u
z
z
y
N
u
t
r
itio
n
S
ystem
”.
T
h
e
r
esear
ch
m
e
n
tio
n
ed
th
e
F
u
zz
y
d
iet
an
al
y
s
is
s
y
s
te
m
w
i
th
f
o
o
d
r
ec
o
m
m
e
n
d
atio
n
s
.
T
h
e
p
r
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p
o
s
ed
s
y
s
te
m
i
s
d
escr
ib
ed
an
d
i
m
p
le
m
en
ted
as
f
o
llo
w
s
.
T
w
o
m
et
h
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d
s
f
o
r
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u
tr
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al
f
ee
d
b
ac
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o
n
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f
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zz
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th
e
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er
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m
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ar
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co
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et
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Si
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ilar
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s
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h
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s
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w
h
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o
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y
s
te
m
e
x
p
lai
n
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o
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t
Fu
zz
y
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iet
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al
y
s
is
,
b
u
t
o
n
o
u
r
r
esear
ch
ex
p
lain
to
d
d
ler
’
s
n
u
tr
itio
n
s
tat
u
s
an
d
th
e
p
r
o
g
r
a
m
u
s
ed
is
S
Q
L
Qu
eries
fo
r
d
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ta
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a
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e
US
DA
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2
3
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u
t
th
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h
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s
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Ja
va
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ased
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A
n
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id
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etr
i
Haim
o
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e
n
’
s
r
esear
ch
[
6
]
w
it
h
e
n
titl
ed
“
D
ev
elo
p
m
e
n
t
o
f
a
F
u
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y
E
x
p
er
t
f
o
r
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tr
itio
n
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l
Gu
id
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ce
A
p
p
licatio
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”
d
is
c
u
s
s
ed
th
eN
u
tr
itio
n
a
l
Gu
id
an
ce
w
it
h
f
u
zz
y
m
a
n
d
an
i
m
et
h
o
d
.
T
h
is
ap
p
licatio
n
is
d
esig
n
ed
u
s
i
n
g
Ma
tlab
.
(
Hein
o
n
en
,
Ma
n
n
eli
n
,
I
s
k
ala,
So
r
s
a
&
J
u
n
s
o
,
2
0
0
9
)
.
R
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ch
th
a
t
d
o
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e
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y
Su
d
ir
m
an
[
7
]
ca
lled
“Cl
as
s
i
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icatio
n
N
u
tr
itio
n
A
n
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l
y
s
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w
it
h
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eth
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-
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n
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s
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b
ase
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o
n
A
n
d
r
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id
”.
T
h
is
ap
p
licatio
n
u
s
ed
h
e
ig
h
t
i
n
p
u
t,
w
ei
g
h
t
an
d
g
en
d
er
as
t
h
e
r
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ch
in
d
icato
r
w
it
h
a
n
o
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t
p
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t
o
f
to
d
d
ler
’
s
n
u
tr
itio
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s
tat
u
s
.
P
r
o
g
r
am
m
i
n
g
lan
g
u
ag
e
th
at
u
s
ed
is
Ja
va
b
ased
o
n
A
n
d
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o
m
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P
r
asetio
’
s
r
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ch
w
it
h
en
t
itled
[
8
]
“Ap
p
licatio
n
to
d
iag
n
o
s
e
N
u
tr
iti
o
n
o
n
T
o
d
d
le
r
w
it
h
th
e
C
alo
r
ies
n
ee
d
ed
u
s
in
g
Fu
zz
y
S
u
g
e
n
o
m
e
th
o
d
”.
On
th
is
r
esear
c
h
s
y
s
te
m
,
t
h
e
i
n
p
u
t
u
s
ed
s
u
c
h
as
Heig
h
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Ag
e,
W
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g
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Heig
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t/W
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t
w
ith
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u
tp
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t
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d
ler
’
s
n
u
tr
itio
n
s
tat
u
s
.
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r
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r
a
m
m
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lan
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ag
e
u
s
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is
Vi
s
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a
l C++.
(
P
r
asetio
n
,
Ma
r
tian
a
&
M
u
b
tad
a’
i,
2
0
1
1
)
3.
RE
S
E
ARCH
M
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T
H
O
D
Flo
w
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eter
m
i
n
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to
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ler
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s
n
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n
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y
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te
m
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Fu
zz
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g
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n
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m
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d
as s
h
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w
n
F
ig
u
r
e
1
Fig
u
r
e
1
.
Flo
w
c
h
ar
t o
f
T
o
d
d
le
r
’
s
N
u
tr
itio
n
Statu
s
Val
u
atio
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
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C
E
I
SS
N:
2
0
8
8
-
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Mo
b
ile
Dec
is
io
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S
u
p
p
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ystem
to
Dete
r
min
e
To
d
d
ler's
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F
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S
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h
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3685
3
.
1
.
G
a
t
hering
Da
t
a
Data
in
t
h
is
r
e
s
ea
r
ch
u
s
e
s
t
h
e
d
ata
g
at
h
er
ed
f
r
o
m
C
lin
ic
Sil
alas,
W
est
Me
d
a
n
2
0
1
4
.
T
o
d
d
ler
’
s
d
ata
n
ee
d
ed
f
o
r
t
h
is
r
e
s
ea
r
ch
i
n
cl
u
d
e
h
eig
h
t,
w
eig
h
t,
a
g
e
ac
co
r
d
in
g
l
y
to
th
e
g
e
n
d
er
,
eit
h
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o
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o
r
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ir
l.
T
o
d
d
ler
’
s
Nu
tr
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n
s
tat
u
s
is
s
p
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i
f
ied
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y
Mi
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No
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1
9
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S/S
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o
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t
An
t
h
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tan
d
ar
d
.
Valu
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n
d
iv
id
ed
in
to
4
ca
teg
o
r
y
,
s
u
c
h
as;
e
x
tr
a
n
u
tr
it
io
n
,
g
o
o
d
n
u
tr
i
tio
n
,
les
s
n
u
tr
it
io
n
an
d
p
o
o
r
n
u
tr
i
tio
n
(
Dr
.
L
a
n
n
y
L
es
tian
i S
.
,
Sp
.
GK
as Nu
tr
itio
n
Sp
ec
iali
s
t a
t M
ed
is
tr
a
Ho
s
p
ital M
ed
an
)
.
3
.
2
.
F
uzzy
Su
g
eno
M
et
ho
d
F
u
zz
y
S
u
g
e
n
o
m
et
h
o
d
u
s
ed
f
o
r
th
e
ass
e
s
s
m
en
t o
f
n
u
tr
itio
n
al
s
tatu
s
ca
n
b
e
d
o
n
e
in
t
h
r
ee
s
ta
g
es:
1.
Fu
zz
y
f
icatio
n
is
a
p
r
o
ce
s
s
w
h
er
e
in
p
u
t
d
ata
te
n
d
to
b
e
ce
r
ta
in
(
cr
ip
s
in
p
u
t)
i
n
to
t
h
e
F
u
zz
y
in
p
u
t
.
O
n
th
i
s
r
esear
ch
,
u
s
ed
F
u
zz
y
v
ar
iab
le
in
cl
u
d
e
ag
e,
w
eig
h
t,
h
eig
h
t
a
n
d
h
ea
d
d
ia
m
eter
an
d
b
o
d
y
m
ass
i
n
d
ex
an
d
also
g
e
n
d
er
.
A
g
e
v
ar
iab
le
d
iv
id
ed
in
to
5
t
y
p
e
s
s
u
c
h
a
s
;
P
h
ase1
,
P
h
ase2
,
P
h
ase3
,
P
h
ase4
,
an
d
P
h
ase5
.
W
eig
h
t
v
ar
iab
le
ac
co
r
d
in
g
to
g
en
d
er
d
iv
id
ed
in
to
3
s
u
ch
as;
L
i
g
h
t,
Me
d
i
u
m
an
d
Hea
v
y
.
B
u
t
h
ei
g
h
t
v
ar
iab
le
ac
co
r
d
in
g
to
g
e
n
d
er
d
iv
id
ed
in
to
3
s
u
c
h
as;
S
h
o
r
t,
Me
d
iu
m
an
d
T
all.
A
n
d
b
o
d
y
m
as
s
i
n
d
ex
d
iv
id
ed
in
to
3
t
y
p
es
s
u
c
h
a
s
;
S
k
in
n
y
,
Me
d
iu
m
a
n
d
Fat
(
Dr
.
L
an
n
y
L
e
s
tia
n
i
S.,
Sp
.
G
K
as
N
u
tr
itio
n
Sp
ec
ialis
t a
t M
ed
is
tr
a
Ho
s
p
ita
l M
ed
an
)
.
2.
I
n
f
er
e
n
ce
P
r
o
ce
s
s
Nex
t,
b
ased
o
n
Fu
zz
y
r
es
u
lted
o
n
to
d
d
ler
’
s
n
u
tr
itio
n
s
tatu
s
,
t
h
e
to
tal
in
d
icato
r
u
s
ed
o
n
th
i
s
m
et
h
o
d
to
tal
1
4
5
r
u
les.
T
h
e
r
esu
lt o
f
t
h
i
s
F
u
zz
y
r
u
le
b
ee
n
co
n
s
u
lted
w
it
h
Dr
.
L
an
n
y
L
esti
a
n
i S.
,
Sp
.
GK
a
s
Nu
tr
itio
n
Sp
ec
ialis
t a
t M
ed
is
tr
a
Ho
s
p
ita
l M
ed
an
.
B
u
t n
u
tr
itio
n
s
tat
u
s
f
o
r
to
d
d
ler
ca
n
b
e
d
eter
m
i
n
ed
ac
co
r
d
in
g
to
n
u
tr
itio
n
s
tat
u
s
s
u
c
h
as;
a.
B
ad
n
u
tr
itio
n
,
i
f
n
u
tr
itio
n
less
th
an
4
9
(
<4
9
)
.
b.
L
es
s
n
u
tr
itio
n
,
if
n
u
tr
itio
n
le
s
s
th
an
5
3
an
d
b
ig
g
er
th
a
n
4
9
(
4
9
<n
u
tr
itio
n
v
al
u
e<
6
0
)
.
c.
Go
o
d
n
u
tr
itio
n
,
i
f
n
u
tr
itio
n
les
s
th
a
n
7
0
an
d
b
ig
g
er
th
a
n
6
0
(
6
0
<n
u
tr
itio
n
v
al
u
e<
7
0
)
.
d.
E
x
ce
lle
n
t n
u
tr
itio
n
,
if
n
u
tr
i
tio
n
m
o
r
e
th
an
7
0
(
n
u
tr
itio
n
v
al
u
e
>7
0
)
.
e.
(
Dr
.
L
an
n
y
L
e
s
tia
n
i S.
,
Sp
.
GK
as Nu
tr
itio
n
Sp
ec
iali
s
t
at
Me
d
is
tr
a
Ho
s
p
ital M
ed
an
)
.
3.
Def
u
zz
y
f
i
ca
tio
n
u
s
i
n
g
Su
g
e
n
o
ca
n
b
e
co
n
v
er
ted
i
n
to
F
u
zz
y
o
u
tp
u
t
to
cr
ip
s
w
it
h
ca
lc
u
lati
o
n
o
f
w
ei
g
h
ted
av
er
ag
e
w
it
h
f
o
r
m
u
la
as s
h
o
wn
E
q
.
(
1
)
;
C
o
ns
e
q
ue
nt
t)
(
C
on
s
e
qu
e
n
X
(
A
l
pha
)
(
C
r
i
p
s
)
O
u
t
p
ut
(
1
)
W
h
er
e
:
A
lp
h
a
:
o
u
tp
u
t p
ar
a
m
eter
o
f
d
eg
r
ee
m
e
m
b
er
C
o
n
s
eq
u
en
t
:
Nu
m
b
er
o
f
C
o
n
s
eq
u
en
t
4.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
T
h
e
f
o
llo
w
i
n
g
w
ill
b
e
m
ad
e
c
o
m
p
ar
is
o
n
test
in
g
b
et
w
ee
n
Su
g
en
o
m
et
h
o
d
an
d
th
e
r
es
u
lts
o
b
tain
ed
b
y
an
th
r
o
p
o
m
etr
ic
tab
le.
4
.
1
.
M
a
nu
a
l Tes
t
ing
Su
g
eno
M
e
t
ho
d
I
n
th
i
s
s
ta
g
e,
th
e
v
ar
iab
le
in
p
u
t te
s
t s
u
ch
a
s
:
Ag
e
:
32
Heig
h
t
:
88
W
eig
h
t
:
13
Hea
d
Dia
m
eter
:
48
Gen
d
er
:
Gir
l
B
o
d
y
Ma
s
s
I
n
d
ex
:
1
6
,
7
8
7
2
B
ef
o
r
e
in
f
er
en
ce
n
ee
d
s
to
b
e
f
o
u
n
d
,
t
h
e
m
e
m
b
er
v
a
lu
e
d
eg
r
e
e
o
n
ea
c
h
f
u
zz
y
v
ar
iab
le,
s
u
ch
as
a
g
e
a
s
s
h
o
w
n
Fi
g
u
r
e
2
,
b
o
d
y
m
ass
i
n
d
ex
as Fi
g
u
r
e
3
,
h
ea
d
d
ia
m
eter
as
Fig
u
r
e
4
,
an
d
n
u
tr
io
n
as s
h
o
w
n
Fi
g
u
r
e
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
6
,
Dec
em
b
er
2
0
1
7
:
3
6
8
3
–
3
6
9
1
3686
Fig
u
r
e
2
.
Var
iab
le
Fu
zz
y
Ag
e
Ag
e
µP
HA
SE
_
1
(
32
)
=
0
µP
HA
SE
_
2
(
32)
=
0
µP
HA
SE
_
3
(
32
)
=
(
3
6
-
3
2
)
/ (
3
6
-
2
4
)
=
0
,
3
3
3
3
µP
HA
SE
_
4
(
32
)
=
(
3
2
-
2
4
)
/ (
3
6
-
2
4
)
=
0
,
6
6
6
7
µP
HA
SE
_
5
(
32
)
=
0
Fig
u
r
e
3
.
Var
iab
le
Fu
zz
y
B
o
d
y
Ma
s
s
I
n
d
ex
B
o
dy
M
a
s
s
I
nd
e
x
B
MI
=
B
B
/ (
(
T
B
/
1
0
0
)
*
(
T
B
/ 1
0
0
)
)
=
1
3
/ (
(
8
8
/ 1
0
0
)
*
(
8
8
/ 1
0
0
)
)
=
1
6
,
7
8
7
2
µ
S
K
I
N
NY
(
1
6
,
7
8
7
2
)
=
0
µ
OVERWE
I
GHT
(
1
6
,
7
8
7
2
)
=
(
1
7
-
1
6
,
7
8
7
2
)
/ (
1
7
-
1
5
.
5
)
=
0
,
1
4
1
9
µ
NORM
AL
(
1
6
,
7
8
7
2
)
=
(
1
6
,
7
8
7
2
-
1
5
,
5
)
/
(
1
7
-
1
5
,
5
)
=
0
,
8
5
8
1
Fig
u
r
e
4
.
Var
iab
le
Fu
zz
y
Hea
d
Dia
m
eter
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
Mo
b
ile
Dec
is
io
n
S
u
p
p
o
r
t S
ystem
to
Dete
r
min
e
To
d
d
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N
u
tr
itio
n
u
s
in
g
F
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z
z
y
S
u
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en
o
(
S
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3687
H
ea
d Dia
m
et
er
µ
S
M
ALL
(
48
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=
(
4
8
,
2
5
-
4
8
)
/
(
4
8
,
2
5
-
4
6
,
7
5
)
=
0
,
1
6
6
7
µ
MEDIUM
(
48
)
=
(
4
8
-
4
6
,
7
5
)
/
(
4
8
,
2
5
-
4
6
,
7
5
)
=
0
,
8
3
3
3
µ
BI
G
(
48
)
=
0
Af
ter
g
et
a
f
u
n
ctio
n
o
n
ea
ch
m
e
m
b
er
v
ar
iab
le
th
e
n
t
h
e
n
e
x
t
s
tep
is
to
f
o
r
m
t
h
e
r
u
le
an
d
w
ei
g
h
t
b
y
u
s
i
n
g
d
ef
u
zz
if
icatio
n
u
s
i
n
g
Su
g
en
o
m
eth
o
d
.
Co
nn
ec
t
ed
Rule
[
R
1
]
IF
A
g
e=
P
H
A
SE
3
AND
Hea
d
D
ia
m
eter
=
SM
AL
L
A
ND
B
MI
=N
OR
M
AL
T
H
E
N
Nu
tr
it
io
n
=
ME
DI
UM
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
3
(
32
)
;
µ
S
M
ALL
(
48
);
µ
NORM
AL
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
3
3
3
3
; 0
,
1
6
6
7
;
0
,
1
4
1
9
)
=
0
,
1
4
1
9
[R
2
]
IF
Ag
e=
P
H
A
SE
3
AND
H
ea
d
Dia
m
eter
=
SM
AL
L
AN
D
B
MI
=O
VE
R
W
E
I
GHT
T
H
E
N
N
u
tr
itio
n
=
E
XT
R
A
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
3
(
32
)
;
µ
S
M
ALL
(
48
);
µ
OVERWE
I
GHT
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
3
3
3
3
; 0
,
1
6
6
7
;
0
,
8
5
8
1
)
=
0
,
1
6
6
7
[R
3
]
IF
Ag
e=
P
H
A
SE
3
AND
H
ea
d
Dia
m
eter
=M
E
DI
UM
AND
B
MI
=N
OR
M
AL
T
H
E
N
N
u
tr
it
io
n
=G
OOD
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
3
(
32
)
;
µ
MEDI
U
M
(
48
);
µ
NORM
AL
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
3
3
3
3
; 0
,
8
3
3
3
;
0
,
0
.
1
4
1
9
)
=
0
,
1
4
1
9
[R
4
]
IF
Ag
e=
P
H
A
SE
3
AND
H
ea
d
Dia
m
eter
=M
E
DI
UM
AND
B
MI
=O
VE
R
W
E
I
GHT
T
H
E
N
Nu
tr
itio
n
=G
OOD
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
3
(
32
)
;
µ
MEDI
U
M
(
48
);
µ
OVERWE
I
GHT
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
3
3
3
3
; 0
,
8
3
3
3
;
0
,
8
5
8
1
)
=
0
,
3
3
3
3
[
R
5
]
IF
Ag
e=
P
H
A
SE
4
AND
H
ea
d
Dia
m
eter
=
SM
AL
L
AN
D
B
MI
=N
OR
M
AL
T
H
E
N
N
u
tr
itio
n
=M
E
DI
UM
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
4
(
32
)
;
µ
S
M
ALL
(
48
);
µ
NORM
AL
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
6
6
6
7
;
0
,
1
6
6
7
;
0
,
1
4
1
9
)
=
0
,
1
4
1
9
[R
6
]
IF
Ag
e=
P
H
A
SE
4
AND
H
ea
d
Dia
m
eter
=
SM
AL
L
AN
D
B
MI
=O
VE
R
W
E
I
GHT
T
H
E
N
N
u
tr
itio
n
=
E
XT
R
A
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
4
(
32
)
;
µ
S
M
ALL
(
48
);
µ
OVERWE
I
GHT
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
6
6
6
7
; 0
,
1
6
6
7
;
0
,
8
5
8
1
)
=
0
,
1
6
6
7
[R
7
]
IF
Ag
e=
P
H
A
SE
4
AND
H
ea
d
Dia
m
eter
=M
E
DI
UM
AND
B
MI
=N
OR
M
AL
T
H
E
N
N
u
tr
it
io
n
=G
OOD
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
4
(
32
)
;
µ
MEDI
U
M
(
48
);
µ
NORM
AL
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
6
6
6
7
; 0
,
8
3
3
3
;
0
,
1
4
1
9
)
=
0
,
1
4
1
9
[R
8
]
IF
Ag
e=
P
H
A
SE
4
AND
H
ea
d
Dia
m
eter
=M
E
DI
UM
AND
B
MI
=O
VE
R
W
E
I
GHT
T
H
E
N
Nu
tr
itio
n
=G
OOD
α
-
p
r
ed
icate
=
m
i
n
(
µ
PH
AS
E
4
(
32
)
;
µ
MEDI
U
M
(
48
);
µ
OVERWE
I
GHT
(
1
6
,
7
8
7
2
)
=
m
i
n
(
0
,
6
6
6
7
; 0
,
8
3
3
3
;
0
,
8
5
8
1
)
=
0
,
6
6
6
7
Det
er
m
i
ne
m
a
x
i
m
u
m
v
a
lue o
n nutr
it
io
n
W
o
r
s
t
=
0
L
es
s
=
0
Me
d
iu
m
=
m
ax
(
0
,
1
4
1
9
; 0
,
1
4
1
9
)
=
0
,
1
4
1
9
Go
o
d
=
m
ax
(
0
,
1
4
1
9
; 0
,
3
3
3
3
;
0
,
1
4
1
9
;
0
,
6
6
6
7
)
=
0
,
6
6
6
7
Mo
r
e
=
m
ax
(
0
,
1
6
6
7
; 0
,
1
6
6
7
)
=
0
,
1
6
6
7
Z
=
(
0
x
4
3
)
+
(
0
x
4
9
)
+
(
0
,
1
4
1
9
x
5
3
)
+
(
0
,
6
6
6
7
x
6
0
)
+
(
0
,
1
6
6
7
x
7
0
)
0
+
0
+
0
,
3
3
3
3
+
0
,
6
6
6
7
+
0
,
1
6
6
7
=
5
9
,
1
9
1
7
0
,
9
7
5
3
=
6
0
,
6
9
0
7
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
6
,
Dec
em
b
er
2
0
1
7
:
3
6
8
3
–
3
6
9
1
3688
Fro
m
t
h
e
ca
lc
u
latio
n
ab
o
v
e,
3
2
m
o
u
n
t
h
s
to
d
d
ler
w
it
h
h
eig
h
t
8
8
cm
,
w
eig
h
t
1
3
k
g
a
n
d
Hea
d
Dia
m
e
ter
4
8
cm
h
as a
g
o
o
d
n
u
tr
itio
n
.
T
h
e
n
u
tr
it
io
n
v
a
lu
e
6
0
,
6
9
0
7
.
Fig
u
r
e
5
.
Var
iab
le
Fu
zz
y
N
u
tr
itio
n
Fro
m
t
h
e
F
ig
u
r
es
2
-
5
,
t
h
e
f
u
zz
y
s
u
g
en
o
ca
n
b
e
d
eter
m
i
n
e
d
to
b
e
6
0
,
6
9
0
7
,
w
h
ic
h
i
s
o
n
a
GOOD
v
alu
e.
4
.
2
.
T
est
B
a
s
ed
o
n Ant
hro
po
m
et
ry
I
n
th
i
s
s
ta
g
e,
v
ar
iab
le
test
i
n
p
u
t su
c
h
as:
Ag
e
:
32
Heig
h
t
:
88
W
eig
h
t
:
13
Hea
d
Dia
m
eter
:
48
Gen
d
er
:
Gir
l
Weig
ht
/ A
g
e
Z
1
=
(
1
3
-
1
3
,
1
)
/ (
1
3
,
1
-
1
1
,
6
)
=
-
0
,
1
/ 1
,
5
=
-
0
,
0
6
6
6
7
Weig
ht
/ H
eig
ht
Z
2
=
(
1
3
-
1
2
,
1
)
/ (
1
3
,
3
-
1
2
,
1
)
=
0
,
9
/ 1
,
2
=
0
,
7
5
H
eig
ht
Dia
m
et
er
/ A
g
e
Z
3
=
(
4
8
-
4
8
,
2
5
)
/
(
4
8
,
2
5
-
4
6
,
7
5
)
=
-
0
,
2
5
/ 1
,
5
=
-
0
,
1
6
6
6
7
Z
=
(Z
1
+ Z
2
+
Z
3
)
3
=
-
0
,
0
6
6
6
7
+
0
,
7
5
-
0
,
1
6
6
6
7
3
=
0
,
1
7
2
2
2
2
Fro
m
t
h
e
ca
lc
u
latio
n
ab
o
v
e,
t
est
b
ased
o
n
a
n
th
r
o
p
o
m
etr
y
r
e
s
u
lted
0
,
1
7
2
2
2
2
.
T
h
is
v
a
lu
e
is
a
GOO
D
v
alu
e
w
h
ic
h
b
et
w
ee
n
-
1
an
d
1
ac
co
r
d
in
g
to
an
t
h
r
o
p
o
m
etr
y
.
4
.
3
.
E
v
a
lua
t
io
n Sy
s
t
em
Re
s
u
lt
P
ar
am
eter
w
ill b
e
f
illed
w
ith
m
an
u
al
ca
lc
u
latio
n
s
u
ch
a
s
;
Ag
e
:
8
Heig
h
t
:
65
W
eig
h
t
:
9
Hea
d
Dia
m
eter
:
45
Fil
li
n
g
o
n
t
h
e
n
u
tr
i
tio
n
s
ta
tu
s
s
u
ch
a
s
;
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
Mo
b
ile
Dec
is
io
n
S
u
p
p
o
r
t S
ystem
to
Dete
r
min
e
To
d
d
ler's
N
u
tr
itio
n
u
s
in
g
F
u
z
z
y
S
u
g
en
o
(
S
u
r
h
a
jito
)
3689
W
o
r
s
t
:
43
L
es
s
:
49
Me
d
iu
m
:
53
Go
o
d
:
60
Mo
r
e
:
70
T
ab
le
1
.
C
ateg
o
r
y
T
o
d
d
ler
’
s
Nu
tr
itio
n
N
o
.
E
v
a
l
u
a
t
i
o
n
R
e
su
l
t
R
e
su
l
t
1
4
3
–
48
W
O
R
S
T
2
4
9
–
52
L
E
S
S
3
5
3
–
58
M
ED
I
U
M
4
6
0
–
69
G
O
O
D
5
7
0
a
b
o
v
e
M
O
R
E
T
ab
le
1
is
to
d
d
ler
’
s
n
u
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lc
u
latio
n
p
r
o
v
e
s
th
at
p
ar
am
eter
h
as a
d
if
f
er
en
t c
alc
u
latio
n
,
e
v
en
th
o
u
g
h
d
if
f
er
e
n
t,
n
u
tr
i
tio
n
s
ta
tu
s
r
ese
m
b
le
to
ea
ch
o
th
er
.
5.
CO
NCLU
SI
O
N
T
h
e
ev
alu
a
tio
n
ap
p
licatio
n
a
n
d
co
m
p
ar
in
g
to
d
d
ler
’
s
n
u
tr
itio
n
s
u
r
v
e
y
at
cli
n
ic
an
d
m
a
n
u
a
l
ca
lcu
latio
n
w
it
h
g
r
o
w
th
g
r
ap
h
ic
i
n
v
o
l
v
e
3
0
to
d
d
ler
s
ar
e
co
n
d
u
cted
in
t
h
is
r
esear
ch
.
T
h
e
ca
te
g
o
r
y
g
r
o
u
p
to
d
d
ler
’
s
n
u
tr
i
tio
n
u
s
e
s
4
c
ateg
o
r
ies
;
wo
r
s
t,
less
,
m
ed
i
u
m
,
g
o
o
d
.
Su
g
en
o
u
s
e
s
5
ca
teg
o
r
ies;
w
o
r
s
t,
less
,
m
ed
i
u
m
,
g
o
o
d
an
d
ex
ce
lle
n
t
s
o
Fu
zz
y
S
u
g
e
n
o
m
et
h
o
d
h
as
a
h
i
g
h
ac
cu
r
ac
y
to
d
eter
m
in
e
t
h
e
ca
lcu
latio
n
o
f
Ag
e,
B
o
d
y
Ma
s
s
I
n
d
ex
a
n
d
Hea
d
Dia
m
e
ter
.
T
h
e
r
es
u
lt
v
al
u
e
o
f
Fu
zz
y
S
u
g
en
o
is
ne
ar
to
id
ea
l
v
al
u
e
a
n
d
s
a
m
e
as
m
a
n
u
al
m
et
h
o
d
.
C
alcu
latio
n
r
e
s
u
l
t
d
o
es
n
o
t a
l
w
a
y
s
s
h
o
w
s
t
h
e
s
a
m
e
r
es
u
lt b
e
ca
u
s
e
o
f
t
h
e
d
i
f
f
er
e
n
t
m
et
h
o
d
u
s
ed
.
E
v
e
n
th
o
u
g
h
d
if
f
er
en
t
m
eth
o
d
u
s
e
d
,
th
e
r
esu
lt
v
al
u
e
al
m
o
s
t
t
h
e
s
a
m
e.
So
,
f
u
zz
y
s
u
g
e
n
o
m
et
h
o
d
ca
n
b
e
an
alter
n
ati
v
e
m
e
th
o
d
to
in
cr
ea
s
e
th
e
n
u
tr
it
io
n
n
ee
d
ed
o
r
th
e
ch
ec
k
t
h
e
r
es
u
lt
o
n
w
h
ich
p
ar
t
n
ee
d
to
b
e
i
m
p
r
o
v
e
f
o
r
to
d
d
ler
’
s
n
u
tr
itio
n
.
T
h
e
r
e
s
u
lt
ca
n
b
e
u
s
e
d
to
d
ec
id
e
th
e
d
ail
y
f
o
o
d
co
n
s
u
m
p
tio
n
f
o
r
to
d
d
ler
s
o
th
a
t
t
h
e
n
u
tr
i
tio
n
v
al
u
e
is
e
x
ce
lle
n
t.
T
h
is
m
eth
o
d
ca
n
b
e
u
se
d
to
c
h
ec
k
o
n
to
d
d
ler
’
s
g
r
o
w
t
h
o
n
w
e
ig
h
t,
h
e
ig
h
t a
n
d
h
ea
d
d
ia
m
eter
.
RE
F
E
R
E
NC
E
S
[1
]
M
u
lj
o
n
o
,
“
Us
in
g
F
u
z
z
y
S
u
g
e
n
o
M
e
th
o
d
T
o
De
term
in
e
T
o
d
d
ler’s
Nu
tri
ti
o
n
S
tatu
s.
T
e
c
h
n
o
.
COM
”
,
V
o
l
u
m
e
10
No
3
,
p
p
.
1
2
7
-
1
3
6
,
M
a
r
2
0
1
1
.
[2
]
Ku
su
m
a
d
e
w
i.
An
a
lys
is
De
sa
in
S
i
ste
m F
u
zz
y
Us
in
g
T
o
o
l
Bo
x
M
a
tl
a
b
.
Yo
g
y
a
k
a
rta:
A
n
d
i,
2
0
0
2
[3
]
Nu
n
g
k
i
F
id
ian
to
r
o
,
&
T
e
d
y
S
e
t
iad
i
.
M
o
d
e
l
De
term
in
e
T
o
d
d
ler’s
Nu
tri
ti
o
n
S
tat
u
s
In
C
li
n
ic
.
J
o
u
rn
a
l
Ba
c
h
e
l
o
r
T
e
c
h
n
ic In
f
o
rm
a
ti
o
n
,
V
o
l
u
m
e
1
No
1
,
p
p
.
3
6
7
-
3
7
3
,
Ju
n
i
2
0
1
3
.
[4
]
Bu
isso
n
,
J.
C
.
Nu
tri
-
E
d
u
c
,
A
Nu
tri
ti
o
n
S
o
f
tw
a
re
A
p
p
li
c
a
ti
o
n
F
o
r
Ba
lan
c
i
n
g
M
e
a
ls,
Us
in
g
F
u
z
z
y
A
rit
h
m
e
ti
c
A
n
d
h
e
u
risti
c
S
e
a
rc
A
lg
o
rit
h
m
s.
A
rtif
icia
l
I
n
telli
g
e
n
c
e
in
M
e
d
ici
n
e
,
V
o
l
u
m
e
1
No
1
,
p
p
.
2
1
3
-
2
2
7
,
2
0
0
8
.
[5
]
Jo
su
a
M
.
Kre
b
e
z
,
&
A
d
n
a
n
S
h
a
o
u
t.
F
u
z
z
y
Nu
tri
ti
o
n
S
y
ste
m
.
I
n
ter
n
a
ti
o
n
a
l
Jo
u
r
n
a
l
o
f
In
n
o
v
a
ti
v
e
Re
se
a
rc
h
in
Co
m
p
u
ter an
d
C
o
m
m
u
n
ica
ti
o
n
,
Vo
lu
m
e
1
Iss
u
e
7
,
p
p
.
1
3
6
0
-
1
3
7
1
,
S
e
p
tem
b
e
r
2013
.
[6
]
He
in
o
n
e
n
,
P
.
,
M
a
n
n
e
li
n
,
M
.
,
Isk
a
la,
H
.
,
S
o
rsa
,
A
.
,
&
Ju
u
so
,
E
.
De
v
e
lo
p
m
e
n
t
o
f
a
F
u
z
z
y
Ex
p
e
rt
S
y
ste
m
f
o
r
a
Nu
tri
ti
o
n
a
l
G
u
id
a
n
c
e
A
p
p
li
c
a
ti
o
n
.
IFS
A
-
EUS
FL
AT
,
p
p
.
1
6
8
5
-
1
6
9
0
,
2
0
0
9
,
h
tt
p
:
//
ww
w
.
e
u
sf
l
a
t.
o
rg
/p
ro
c
e
e
d
in
g
s/IF
S
A
-
EUS
F
LAT
_
2
0
0
9
/
p
d
f
/t
e
m
a
_
1
6
8
5
.
p
d
f
[7
]
S
u
d
irm
a
n
,
Ne
rf
it
a
Nik
e
n
tari,
S
.
,
&
M
a
rtale
li
Be
tt
iza
,
S
.
A
n
a
ly
si
s
Clas
s
if
ic
a
ti
o
n
Nu
tr
it
io
n
S
tatu
s
w
it
h
F
u
z
z
y
C
-
M
e
a
n
m
e
th
o
d
u
sin
g
a
p
p
li
c
a
ti
o
n
b
a
se
d
o
n
A
n
d
r
o
id
.
T
e
c
h
n
ic
Fa
c
u
lt
y
UM
RA
H
,
pp
.
1
-
9,
2
0
1
3
,
h
tt
p
:
//
ju
r
n
a
l.
u
m
ra
h
.
a
c
.
id
/w
p
-
c
o
n
ten
t/
u
p
lo
a
d
s/
2
0
1
3
/0
8
/S
u
d
irm
a
n
-
0
9
0
1
5
5
2
0
1
0
2
2
.
p
d
f
[8
]
P
ra
se
ti
o
,
T
.
,
M
a
rti
a
n
a
,
E.
,
&
M
u
b
tad
a
'
i,
N.
R
.
A
p
p
li
c
a
ti
o
n
T
o
Dia
g
n
o
se
Nu
tri
ti
o
n
On
T
o
d
d
ler
W
i
th
T
h
e
Ca
lo
ries
Ne
e
d
e
d
Us
in
g
F
u
z
z
y
S
u
g
e
n
o
M
e
t
h
o
d
,
2
0
0
1
.
h
tt
p
s://
w
ww
.
p
e
n
s.ac
.
i
d
/u
p
lo
a
d
ta/d
o
w
n
lo
a
d
m
k
.
p
h
p
?
id
=
1
4
8
4
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