Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis

Lungs and kidneys are two vital and frequently injured organs among critically ill patients. In this study, we attempt to develop a weaning prediction model for patients with both respiratory and renal failure using an explainable machine learning (XML) approach. We used the eICU collaborative resea...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Ming-Yen, Chang, Yuan-Ming, Li, Chi-Chun, Chao, Wen-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048210/
https://www.ncbi.nlm.nih.gov/pubmed/36981566
http://dx.doi.org/10.3390/healthcare11060910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048210/
https://www.ncbi.nlm.nih.gov/pubmed/36981566
http://dx.doi.org/10.3390/healthcare11060910

Ejemplares similares