Predicting Prolonged Length of ICU Stay through Machine Learning

This study aimed to construct machine learning (ML) models for predicting prolonged length of stay (pLOS) in intensive care units (ICU) among general ICU patients. A multicenter database called eICU (Collaborative Research Database) was used for model derivation and internal validation, and the Medi...

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Detalles Bibliográficos
Autores principales: Wu, Jingyi, Lin, Yu, Li, Pengfei, Hu, Yonghua, Zhang, Luxia, Kong, Guilan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700580/
https://www.ncbi.nlm.nih.gov/pubmed/34943479
http://dx.doi.org/10.3390/diagnostics11122242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700580/
https://www.ncbi.nlm.nih.gov/pubmed/34943479
http://dx.doi.org/10.3390/diagnostics11122242

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