Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units

BACKGROUND: Acute respiratory distress syndrome (ARDS) is common in intensive care units with high mortality rate and mechanical ventilation (MV) is the most important related treatment. Early prediction of MV duration has benefit for patients risk stratification and care strategies support. OBJECTI...

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Detalles Bibliográficos
Autores principales: Wang, Zichen, Zhang, Luming, Huang, Tao, Yang, Rui, Cheng, Hongtao, Wang, Hao, Yin, Haiyan, Lyu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678346/
https://www.ncbi.nlm.nih.gov/pubmed/36423504
http://dx.doi.org/10.1016/j.hrtlng.2022.11.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678346/
https://www.ncbi.nlm.nih.gov/pubmed/36423504
http://dx.doi.org/10.1016/j.hrtlng.2022.11.005

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