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

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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Bibliographic Details
Main Authors:	Pei-Shan Hung, Pei-Ru Lin, Hsin-Hui Hsu, Yi-Chen Huang, Shin-Hwar Wu, Chew-Teng Kor
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Diagnostics
Subjects:	continuous renal replacement therapy in-hospital mortality explainable machine learning SHapley Additive exPlanations (SHAP) local explanation
Online Access:	https://www.mdpi.com/2075-4418/12/6/1496

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