Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach

Journal of Diabetes Research
Dongmei PeiQiyong Guo

Abstract

Diabetes mellitus is a chronic disease with a steadfast increase in prevalence. Due to the chronic course of the disease combining with devastating complications, this disorder could easily carry a financial burden. The early diagnosis of diabetes remains as one of the major challenges medical providers are facing, and the satisfactory screening tools or methods are still required, especially a population- or community-based tool. This is a retrospective cross-sectional study involving 15,323 subjects who underwent the annual check-up in the Department of Family Medicine of Shengjing Hospital of China Medical University from January 2017 to June 2017. With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. The accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC) value for identifying potential diabetes were 94.2%, 94.0%, 94.2%, and 94.8%, respectively. The ...Continue Reading

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Citations

Jan 18, 2020·Health Information Science and Systems·Md ManiruzzamanMd Menhazul Abedin
Jun 19, 2020·Journal of Diabetes and Metabolic Disorders·Huma Naz, Sachin Ahuja
Nov 6, 2020·Clinical Interventions in Aging·Zongqiu WangZongjun Guo
Dec 5, 2020·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Dongmei PeiChengpu Zhang

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Software Mentioned

WEKA
Statistical Package for the Social Sciences ( SPSS )

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