Subtyping hospitalized patients with hypokalemia by machine learning consensus clustering and associated mortality risks

BACKGROUND: Hospitalized patients with hypokalemia are heterogeneous and cluster analysis, an unsupervised machine learning methodology, may discover more precise and specific homogeneous groups within this population of interest. Our study aimed to cluster patients with hypokalemia at hospital admi...

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Detalles Bibliográficos
Autores principales: Thongprayoon, Charat, Mao, Michael A, Kattah, Andrea G, Keddis, Mira T, Pattharanitima, Pattharawin, Erickson, Stephen B, Dillon, John J, Garovic, Vesna D, Cheungpasitporn, Wisit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825225/
https://www.ncbi.nlm.nih.gov/pubmed/35145640
http://dx.doi.org/10.1093/ckj/sfab190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825225/
https://www.ncbi.nlm.nih.gov/pubmed/35145640
http://dx.doi.org/10.1093/ckj/sfab190

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