Accessibility settings

This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (855) Decision Support for Health Professionals (1693) Advanced Data Analytics in eHealth (249) Machine Learning (2308) Cardiac Risk and Cardiac Risk Calculators (123) Cardiac Surgery (25)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80671, first published .
Nurse adjusts IV drip for patient in hospital bed, with vital signs monitor.

An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study

An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study

Authors of this article:

Kun Zhu1 Author Orcid Image ;   Wenyuan Lu1 Author Orcid Image ;   Shui Liu2 Author Orcid Image ;   Hongyuan Lin1 Author Orcid Image ;   Jianfeng Hou1 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.