Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources

This study aimed to develop a model to predict the 5-year risk of developing end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) using machine learning (ML). It also aimed to implement the developed algorithms into electronic medical records (EMR) system using Health Leve...

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Detalles Bibliográficos
Autores principales: Wang, San, Han, Jieun, Jung, Se Young, Oh, Tae Jung, Yao, Sen, Lim, Sanghee, Hwang, Hee, Lee, Ho-Young, Lee, Haeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253099/
https://www.ncbi.nlm.nih.gov/pubmed/35789173
http://dx.doi.org/10.1038/s41598-022-15036-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253099/
https://www.ncbi.nlm.nih.gov/pubmed/35789173
http://dx.doi.org/10.1038/s41598-022-15036-6

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