Prediction of Type 2 Diabetes Based on Machine Learning Algorithm

Prediction of type 2 diabetes (T2D) occurrence allows a person at risk to take actions that can prevent onset or delay the progression of the disease. In this study, we developed a machine learning (ML) model to predict T2D occurrence in the following year (Y + 1) using variables in the current year...

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Veröffentlicht in:	International journal of environmental research and public health Jg. 18; H. 6; S. 3317
Hauptverfasser:	Deberneh, Henock M., Kim, Intaek
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 23.03.2021 MDPI
Schlagworte:	Algorithms Artificial intelligence Asthma Datasets Diabetes Diabetes Mellitus, Type 2 - epidemiology Discriminant analysis Disease Electronic health records Feature selection Humans Insulin Logistic Models Machine Learning Medical records Metabolism Neural networks Pediatrics Prediabetic State Quality of life Statistical analysis Support vector machines Variance analysis prediction machine learning type 2 diabetes
ISSN:	1660-4601, 1661-7827, 1660-4601
Online-Zugang:	Volltext
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