Using machine learning algorithms to predict 28-day mortality in critically ill elderly patients with colorectal cancer

OBJECTIVE: To predict the 28-day mortality of critically ill, elderly patients with colorectal cancer (CRC) using five machine learning approaches. METHODS: Data were extracted from the eICU Collaborative Research Database (eICU-CRD) (version 2.0) for a training cohort and from the Medical Informati...

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Detalles Bibliográficos
Autores principales: Guo, Chunxia, Pan, Jun, Tian, Shan, Gao, Yuanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Retrospective Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640810/
https://www.ncbi.nlm.nih.gov/pubmed/37950672
http://dx.doi.org/10.1177/03000605231198725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640810/
https://www.ncbi.nlm.nih.gov/pubmed/37950672
http://dx.doi.org/10.1177/03000605231198725

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