Tree-based survival analysis improves mortality prediction in cardiac surgery

Tree-based survival analysis improves mortality prediction in cardiac surgery

ObjectivesMachine learning (ML) classification tools are known to accurately predict many cardiac surgical outcomes. A novel approach, ML-based survival analysis, remains unstudied for predicting mortality after cardiac surgery. We aimed to benchmark performance, as measured by the concordance index...

Full description

Bibliographic Details
Main Authors: Jahan C. Penny-Dimri, Christoph Bergmeir, Christopher M. Reid, Jenni Williams-Spence, Luke A. Perry, Julian A. Smith
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
tree-based machine learning
cardiac surgery
mortality
survival analaysis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1211600/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1211600/full

Similar Items