Development and External Validation of a Machine Learning Model for Progression of CKD

INTRODUCTION: Prediction of disease progression at all stages of chronic kidney disease (CKD) may help improve patient outcomes. As such, we aimed to develop and externally validate a random forest model to predict progression of CKD using demographics and laboratory data. METHODS: The model was dev...

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Detalles Bibliográficos
Autores principales: Ferguson, Thomas, Ravani, Pietro, Sood, Manish M., Clarke, Alix, Komenda, Paul, Rigatto, Claudio, Tangri, Navdeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366291/
https://www.ncbi.nlm.nih.gov/pubmed/35967110
http://dx.doi.org/10.1016/j.ekir.2022.05.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366291/
https://www.ncbi.nlm.nih.gov/pubmed/35967110
http://dx.doi.org/10.1016/j.ekir.2022.05.004

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