Open Access<p>Estimation of Diabetes in a High-Risk Adult Chinese Population Using J48 Decision Tree Model</p>
Author(s) -
Dongmei Pei,
Tengfei Yang,
Chengpu Zhang
Publication year - 2020
Publication title -
diabetes, metabolic syndrome and obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.853
H-Index - 43
ISSN - 1178-7007
DOI - 10.2147/dmso.s279329
Subject(s) - c4.5 algorithm , decision tree , decision tree learning , medicine , population , diabetes mellitus , decision tree model , tree (set theory) , computer science , data mining , statistics , machine learning , mathematics , environmental health , naive bayes classifier , support vector machine , mathematical analysis , endocrinology
To predict and make an early diagnosis of diabetes is a critical approach in a population with high risk of diabetes, one of the devastating diseases globally. Traditional and conventional blood tests are recommended for screening the suspected patients; however, applying these tests could have health side effects and expensive cost. The goal of this study was to establish a simple and reliable predictive model based on the risk factors associated with diabetes using a decision tree algorithm.