Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

BackgroundPrevious conventional models for the prediction of diabetes could be updated by incorporating the increasing amount of health data available and new risk prediction methodology. ObjectiveWe aimed to develop a substantially improved diabetes risk prediction model using sophistic...

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Bibliographic Details
Main Authors: Zhang, Lei, Shang, Xianwen, Sreedharan, Subhashaan, Yan, Xixi, Liu, Jianbin, Keel, Stuart, Wu, Jinrong, Peng, Wei, He, Mingguang
Format: Article
Language:English
Published: JMIR Publications 2020-07-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2020/7/e16850

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https://medinform.jmir.org/2020/7/e16850

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