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

Artificial Intelligence (1409) Machine Learning (1491) Postoperative Monitoring and Telemonitoring (128) Big Data Analytics for Elder Care (23)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42259, first published .
Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study

Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study

Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study

Authors of this article:

Jung-Yeon Choi1 Author Orcid Image ;   Sooyoung Yoo2 Author Orcid Image ;   Wongeun Song2, 3 Author Orcid Image ;   Seok Kim2 Author Orcid Image ;   Hyunyoung Baek2 Author Orcid Image ;   Jun Suh Lee4 Author Orcid Image ;   Yoo-Seok Yoon5, 6 Author Orcid Image ;   Seonghae Yoon7 Author Orcid Image ;   Hae-Young Lee8, 9 Author Orcid Image ;   Kwang-il Kim1, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Lee H, Kim S, Moon H, Lee H, Kim K, Jung S, Yoo S. Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study. Journal of Medical Internet Research 2024;26:e59260 View