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

Internet

https://www.mdpi.com/2075-4418/12/6/1496

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