Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan

BACKGROUND: Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse. We used explainable ML approach to establish 30-day, 90-day and 1-year mortality prediction model in critically ill ventilated patient...

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Detalles Bibliográficos
Autores principales: Chan, Ming-Cheng, Pai, Kai-Chih, Su, Shao-An, Wang, Min-Shian, Wu, Chieh-Liang, Chao, Wen-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953968/
https://www.ncbi.nlm.nih.gov/pubmed/35337303
http://dx.doi.org/10.1186/s12911-022-01817-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953968/
https://www.ncbi.nlm.nih.gov/pubmed/35337303
http://dx.doi.org/10.1186/s12911-022-01817-6

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