Predicting Diabetes in Patients with Metabolic Syndrome Using Machine-Learning Model Based on Multiple Years’ Data

PURPOSE: To evaluate the performance of machine-learning models based on multiple years of continuous data to predict incident diabetes among patients with metabolic syndrome. PATIENTS AND METHODS: The dataset comprises the health records from 2008 to 2020 including 4510 nondiabetic participants wit...

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Detalles Bibliográficos
Autores principales: Li, Jing, Xu, Zheng, Xu, Tengda, Lin, Songbai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525025/
https://www.ncbi.nlm.nih.gov/pubmed/36186938
http://dx.doi.org/10.2147/DMSO.S381146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525025/
https://www.ncbi.nlm.nih.gov/pubmed/36186938
http://dx.doi.org/10.2147/DMSO.S381146

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