Toward Better Risk Stratification for Implantable Cardioverter-Defibrillator Recipients: Implications of Explainable Machine Learning Models

Toward Better Risk Stratification for Implantable Cardioverter-Defibrillator Recipients: Implications of Explainable Machine Learning Models

<b>Background:</b> Current guideline-based implantable cardioverter-defibrillator (ICD) implants fail to meet the demands for precision medicine. Machine learning (ML) designed for survival analysis might facilitate personalized risk stratification. We aimed to develop explainable ML mod...

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Bibliographic Details
Main Authors: Yu Deng, Sijing Cheng, Hao Huang, Xi Liu, Yu Yu, Min Gu, Chi Cai, Xuhua Chen, Hongxia Niu, Wei Hua
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
implantable cardioverter-defibrillators
machine learning
mortality
first appropriate shock
Shapley Additive exPlanations values
personalized risk stratification
Online Access:https://www.mdpi.com/2308-3425/9/9/310

Internet

https://www.mdpi.com/2308-3425/9/9/310

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