Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm

Article

Wang, Weihao, Chen, Zhi, Wang, Sen, Chen, Fei, Deng, Mingqun, Fan, Qi and Guo, Lixin. 2022. "Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm." Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 16 (7). https://doi.org/10.1016/j.dsx.2022.102556

Article Title	Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm
ERA Journal ID	124527
Article Category	Article
Authors	Wang, Weihao, Chen, Zhi, Wang, Sen, Chen, Fei, Deng, Mingqun, Fan, Qi and Guo, Lixin
Journal Title	Diabetes and Metabolic Syndrome: Clinical Research and Reviews
Journal Citation	16 (7)
Article Number	102556
Number of Pages	4
Year	2022
Publisher	Elsevier
Place of Publication	United States
ISSN	1871-4021
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.dsx.2022.102556
Web Address (URL)	https://www.sciencedirect.com/science/article/abs/pii/S1871402122001709
Abstract	Background and aims Six variables were used to determine five diabetes subgroups in European, Chinese and US populations in previous studies. This study aims to make new classification method of diabetes easier to use in clinical settings. Methods Clinical data of 1152 hospitalized diabetic patients were collected and built a highly accurate model based on machine learning paradigm. Results We visualized the confusion matrix of the classification model. The diagnose accuracy of five clusters (MOD, MARD, SIRD, SIDD and SAID) were 95%, 100%, 99%, 96% and 100%. An online tool (uqzhichen.uqcloud.net) was set up according to the cluster data based on machine learning paradigm. Six variables (age when diagnosed, HbA1c, BMI, HOMA2-β, HOMA2-IR and GADA) were needed to input in this diagnose system and then a highly accurate subgroup result was showed. Conclusions This is a stable and accurate online diagnose system to identify five new subgroups of diabetes based on machine learning paradigm.
Keywords	Classification; Diabetes; Web-based tool; Machine learning
Contains Sensitive Content	Does not contain sensitive content
ANZSRC Field of Research 2020	460102. Applications in health
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.

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