Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study

BACKGROUND: The first-year survival rate among patients undergoing hemodialysis remains poor. Current mortality risk scores for patients undergoing hemodialysis employ regression techniques and have limited applicability and robustness. OBJECTIVE: We aimed to develop a machine learning model utilizi...

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Detalles Bibliográficos
Autores principales: Sheng, Kaixiang, Zhang, Ping, Yao, Xi, Li, Jiawei, He, Yongchun, Chen, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661257/
https://www.ncbi.nlm.nih.gov/pubmed/33118948
http://dx.doi.org/10.2196/20578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661257/
https://www.ncbi.nlm.nih.gov/pubmed/33118948
http://dx.doi.org/10.2196/20578

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