| Home | E-Submission | Sitemap | Editorial Office |  
top_img
J Health Info Stat > Volume 37(2); 2012 > Article
J Health Info Stat 2012;37(2):99-105.
ALT와 AST의 조정된 정상 상한치에 영향을 미치는 요인에 대한 나무분석모형
곽민정
Decision Tree Models for the Risk Factors on the Adjusted Upper Limit of Normal Serum Alanine and Asparate Aminotransferase Levels in Korea
Min Jung Kwak
ABSTRACT
Objectives:
The upper limit of normal levels for ALT and AST are updated using recently suggested criteria. We analyze the effect of risk factors(age, BMI, total cholesterol, protein, albumin) on ALT and AST using decision tree models.
Method:
The decision tree models are adopted to find most affecting factors for the upper limit of normal levels for ALT and AST. Also, the threshold points for each affecting factor are determined by decision tree models.
Results:
The decision tree models showed that the cases with BMI over 25 and total cholesterol over 180.5 are high risk group for ALT. The most influencing factors for AST are also total cholesterol and BMI with threshold points 208.5 and 25, respectively.
Conclusions:
The most affecting factors on the upper limits of normal levels of ALT and AST are BMI and total cholesterol as metabolic parameters
Key words: Upper Limit, ALT, AST, Decision tree
TOOLS
PDF Links  PDF Links
Full text via DOI  Full text via DOI
Download Citation  Download Citation
CrossRef TDM  CrossRef TDM
  E-Mail
Share:      
METRICS
374
View
4
Download
Related article
Editorial Office
The Korean Society of Health Informatics and Statistics
680 gukchaebosang-ro, Jung-gu, Daegu, 41944, Korea
E-mail: koshis@hanmail.net
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Health Informatics and Statistics. All rights reserved.                 Developed in M2Community