TY  - JOUR 
AU  - Penny Dimri, Jahan C.
AU  - Bergmeir, Christoph Norbert
PY  - 2023
UR  - https://hdl.handle.net/10481/84825
AB  - Objectives: Machine 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...
LA  - eng
PB  - Frontiers
KW  - Machine learning
KW  - Tree-based machine learning
KW  - Cardiac surgery
KW  - Mortality
KW  - Survival analaysis
TI  - Tree-based survival analysis improves mortality prediction in cardiac surgery
DO  - 10.3389/fcvm.2023.1211600
ER  -