13.08.2013 Views

?????? ?? ???? ?? ???? ????? ?? ?? ? ...

?????? ?? ???? ?? ???? ????? ?? ?? ? ...

?????? ?? ???? ?? ???? ????? ?? ?? ? ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

1. <br />

2006 Vol. 33, No. 1(A)<br />

<br />

<br />

, , , <br />

. <br />

, , <br />

3 <br />

3~5 [1]. 20 <br />

25%, 50 45% <br />

, <br />

, 20% <br />

. <br />

, <br />

[1].<br />

(Bayesian network, BN) <br />

<br />

[2]. <br />

. <br />

<br />

, <br />

<br />

[2-4]. <br />

<br />

. <br />

<br />

, <br />

<br />

.<br />

. <br />

, <br />

CooperHerskovitzK2 <br />

[5]. K2 <br />

<br />

[6]. <br />

<br />

O <br />

<br />

sammy@sclab.yonsei.ac.kr O <br />

sbcho@cs.yonsei.ac.kr<br />

An Attribute Ordering Optimization in Bayesian Networks for Prognostic Modeling<br />

of the Metabolic <br />

Syndrome<br />

Han-Saem Park ,O and Sung-Bae Cho<br />

Dept. of Computer Science, Yonsei University<br />

<br />

, , , , <br />

. <br />

<br />

. <br />

K2 , <br />

. <br />

. 1993<br />

1995<br />

, k-.<br />

, .<br />

,<br />

<br />

.<br />

2. <br />

2.1. <br />

National Cholesterol Education Panel (NCEP)Adult Treatment<br />

Panel (ATP) III 53<br />

[1].<br />

1) : >102 cm (>40 in), >88 cm<br />

(>35 in),<br />

2) (hypertriglyerides): =150 mg/dL,<br />

3) HDL (low high-density lipoprotein cholesterol):<br />


3. <br />

<br />

1 . <br />

, , BN , <br />

. <br />

, <br />

<br />

.<br />

1. <br />

3.1. <br />

<br />

. <br />

[1], <br />

.<br />

,<br />

110 normal 110 ~ 125<br />

impaired glucose metabolism, 126diabetes <br />

. 150 200 <br />

increased () 150 <br />

. HDL <br />

. 40, <br />

50 decreased (HDL).<br />

<br />

[1].<br />

3.2. <br />

2006 Vol. 33, No. 1(A)<br />

<br />

<br />

<br />

K2 <br />

, K2 <br />

<br />

. Larranaga TSP (Traveling<br />

Salesman Problem), <br />

[6]. <br />

, <br />

GA<br />

.<br />

1) <br />

1, .<br />

<br />

. <br />

[1]. <br />

<br />

(, , ), <br />

(, 2, ,<br />

HDL ), <br />

.<br />

7. <br />

, <br />

<br />

.<br />

2) <br />

2. <br />

2. m<br />

, ID, <br />

, . <br />

<br />

. <br />

.<br />

p(<br />

g,j)<br />

n Rank(<br />

f ( I(<br />

g,j)<br />

)) 1<br />

n(<br />

n 1)<br />

/ 2<br />

<br />

. (1) <br />

gj, <br />

. , <br />

.<br />

3. <br />

. Larranaga <br />

TSP<br />

(Cycle Crossover Operator). <br />

<br />

.<br />

3.<br />

4. <br />

(Displacement mutation<br />

operator)Larranaga


[6]. <br />

, <br />

. 4<br />

.<br />

3) <br />

, <br />

. K2 <br />

[5], <br />

<br />

.<br />

4. <br />

4.1. <br />

<br />

. 1993 2520<br />

2293 1 , 1995<br />

2 1193[7]. ,<br />

, <br />

, <br />

Modified NCEP-ATP III <br />

. 1193 <br />

1135 , <br />

<br />

18 . 18,<br />

, , 2, , , <br />

, , , GOT, GPT, , ,<br />

HDL , , -, ,<br />

.<br />

(Neural<br />

Network, NN) k (k-nearest neighbors, kNN) <br />

. 11-20-2-<br />

-kNNk<br />

3. <br />

20100. 0.8<br />

, 0.02, 1.0, <br />

<br />

1 . <br />

10-fold cross validation 30 <br />

, 3:1:1 ,<br />

, .<br />

4.2. <br />

<br />

8,<br />

11, <br />

18 .<br />

1 11 <br />

<br />

. (p


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)


2006 Vol. 33, No. 1(A)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!