Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan

OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critically ill influenza patients using a real-world sev...

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Detalles Bibliográficos
Autores principales: Hu, Chien-An, Chen, Chia-Ming, Fang, Yen-Chun, Liang, Shinn-Jye, Wang, Hao-Chien, Fang, Wen-Feng, Sheu, Chau-Chyun, Perng, Wann-Cherng, Yang, Kuang-Yao, Kao, Kuo-Chin, Wu, Chieh-Liang, Tsai, Chwei-Shyong, Lin, Ming-Yen, Chao, Wen-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Intensive Care
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045134/
https://www.ncbi.nlm.nih.gov/pubmed/32102816
http://dx.doi.org/10.1136/bmjopen-2019-033898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045134/
https://www.ncbi.nlm.nih.gov/pubmed/32102816
http://dx.doi.org/10.1136/bmjopen-2019-033898

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