ALT와 AST의 조정된 정상 상한치에 영향을 미치는 요인에 대한 나무분석모형
Decision Tree Models for the Risk Factors on the Adjusted Upper Limit of Normal Serum Alanine and Asparate Aminotransferase Levels in Korea
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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. Methods: 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.
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. Methods: 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.
참고문헌 (10)
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