Explainable machine-learning predictions for complications after pediatric congenital heart surgery
Abstract The quality of treatment and prognosis after pediatric congenital heart surgery remains unsatisfactory. A reliable prediction model for postoperative complications of congenital heart surgery patients is essential to enable prompt initiation of therapy and improve the quality of prognosis....
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-96721-w |