Explainable Machine Learning-Based Risk Prediction Model for In-Hospital Mortality after Continuous Renal Replacement Therapy Initiation

In this study, we established an explainable and personalized risk prediction model for in-hospital mortality after continuous renal replacement therapy (CRRT) initiation. This retrospective cohort study was conducted at Changhua Christian Hospital (CCH). A total of 2932 consecutive intensive care u...

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Detalles Bibliográficos
Autores principales: Hung, Pei-Shan, Lin, Pei-Ru, Hsu, Hsin-Hui, Huang, Yi-Chen, Wu, Shin-Hwar, Kor, Chew-Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222012/
https://www.ncbi.nlm.nih.gov/pubmed/35741306
http://dx.doi.org/10.3390/diagnostics12061496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222012/
https://www.ncbi.nlm.nih.gov/pubmed/35741306
http://dx.doi.org/10.3390/diagnostics12061496

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