Machine learning model to predict hypotension after starting continuous renal replacement therapy

Hypotension after starting continuous renal replacement therapy (CRRT) is associated with worse outcomes compared with normotension, but it is difficult to predict because several factors have interactive and complex effects on the risk. The present study applied machine learning algorithms to devel...

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Detalles Bibliográficos
Autores principales: Kang, Min Woo, Kim, Seonmi, Kim, Yong Chul, Kim, Dong Ki, Oh, Kook-Hwan, Joo, Kwon Wook, Kim, Yon Su, Han, Seung Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387375/
https://www.ncbi.nlm.nih.gov/pubmed/34433892
http://dx.doi.org/10.1038/s41598-021-96727-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387375/
https://www.ncbi.nlm.nih.gov/pubmed/34433892
http://dx.doi.org/10.1038/s41598-021-96727-4

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