Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR

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• 作者：Adem Karahoca ; ^{akarahoca@bahcesehir.edu.tr} ; M. Alper Tunga ^{alper.tunga@bahcesehir.edu.tr}
• 关键词：Diabetes mellitus ; Dosage planning ; Polynomial based classification ; Multivariate data partitioning ; HDMR
• 刊名：Expert Systems with Applications
• 出版年：2012
• 期刊代码：62_09574174
• 类别：et
• 出版时间：15 June, 2012
• 卷：39
• 期：8
• 页码：7207-7215
• 文件大小：317 K

摘要

Diabetes mellitus type 2 (T2DM), is also named as non-insulin dependent diabetes mellitus (NIDDM) or adult-onset diabetes, is a metabolic disease characterized by high blood glucose. Deficient insulin production or insulin resistance of the body are the causes of T2DM. Drug treatment has a very important role as well as exercise and diet. To keep the body sugar level stable within the accepted range values, drug dosage planning is a part of combinational treatment. In this study, Indexing HDMR method which is a multivariate data partitioning method is used to produce a polynomial based rule structure to manage the drug dosage planning process. For this purpose, 142 diabetic assays, 96 of which as training data and 46 of which as testing data, were used in this study. The Indexing HDMR method worked well in modeling drug dosages and it is obvious that the method is reliable for the purpose.