Machine Learning Models for the Prediction of Renal Failure in Chronic Kidney Disease: A Retrospective Cohort Study

This study assessed the feasibility of five separate machine learning (ML) classifiers for predicting disease progression in patients with pre-dialysis chronic kidney disease (CKD). The study enrolled 858 patients with CKD treated at a veteran’s hospital in Taiwan. After classification into early an...

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Detalles Bibliográficos
Autores principales: Su, Chuan-Tsung, Chang, Yi-Ping, Ku, Yuh-Ting, Lin, Chih-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600783/
https://www.ncbi.nlm.nih.gov/pubmed/36292142
http://dx.doi.org/10.3390/diagnostics12102454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600783/
https://www.ncbi.nlm.nih.gov/pubmed/36292142
http://dx.doi.org/10.3390/diagnostics12102454

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