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

BACKGROUND: Previous conventional models for the prediction of diabetes could be updated by incorporating the increasing amount of health data available and new risk prediction methodology. OBJECTIVE: We aimed to develop a substantially improved diabetes risk prediction model using sophisticated mac...

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Detalles Bibliográficos
Autores principales: Zhang, Lei, Shang, Xianwen, Sreedharan, Subhashaan, Yan, Xixi, Liu, Jianbin, Keel, Stuart, Wu, Jinrong, Peng, Wei, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420582/
https://www.ncbi.nlm.nih.gov/pubmed/32720912
http://dx.doi.org/10.2196/16850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420582/
https://www.ncbi.nlm.nih.gov/pubmed/32720912
http://dx.doi.org/10.2196/16850

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