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

Machine Learning (1501) Clinical Information and Decision Making (1434) Perioperative Risk Assessment (14) Surgery, Trauma and Surgical Sciences (146) Artificial Intelligence in Surgery and Perioperative Medicine (27) Artificial Intelligence (1421) Myocardial Infarction (Heart Attack) (45)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32771, first published .
Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Authors of this article:

Seo Jeong Shin1 Author Orcid Image ;   Jungchan Park1, 2 Author Orcid Image ;   Seung-Hwa Lee3, 4 Author Orcid Image ;   Kwangmo Yang1, 5 Author Orcid Image ;   Rae Woong Park1, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (8) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.