Interpretable machine learning prediction of all-cause mortality

Interpretable machine learning prediction of all-cause mortality

Qui et al. present a new approach, IMPACT, that uses explainable artificial intelligence to analyze all-cause mortality. IMPACT provides insights into the individualized mortality risk scores, while maintaining high model accuracy and the expressive power to capture complex, non-linear relationships...

Full description

Bibliographic Details
Main Authors: Wei Qiu, Hugh Chen, Ayse Berceste Dincer, Scott Lundberg, Matt Kaeberlein, Su-In Lee
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-022-00180-x

Internet

https://doi.org/10.1038/s43856-022-00180-x

Similar Items