Optimized Machine Learning Approach for the Prediction of Diabetes-Mellitus

被引：3

作者：

Challa, Manoj ^{[1
]}

Chinnaiyan, R. ^{[2
]}

机构：

[1] CMR Inst Technol, Dept Comp Sci & Engn, Bengaluru, India

[2] CMR Inst Technol, Dept Informat Sci & Engn, Bengaluru, India

来源：

COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING | 2020年 / 1108卷

关键词：

Diabetes; Metabolic disorder; Insulin; Malfunction; Machine learning; Health care;

D O I：

10.1007/978-3-030-37218-7_37

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Diabetes is one of the most common disorders in this modern society. In general, Diabetes-mellitus refers to the metabolic disorder by means of malfunction in insulin secretion and action. The proposed optimized machine learning models both decision tree and random forest models presented in this paper must predict the diabetes mellitus based the factors like BP, BMI and GL. The results build from the data sets are more precise, crisp and can be applied for health care sectors. This proposed model is more suitable for optimized decision making in health care environment.

引用

页码：321 / 328

页数：8

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