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

Artificial Intelligence (1214) Machine Learning (1400) Postoperative Monitoring and Telemonitoring (109) Big Data Analytics for Elder Care (20)

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 Tweetations (3) Metrics

Jung-Yeon Choi   1 * , MD ;   Sooyoung Yoo   2 * , PhD ;   Wongeun Song   2, 3 * ;   Seok Kim   2 ;   Hyunyoung Baek   2 ;   Jun Suh Lee   4 , MD ;   Yoo-Seok Yoon   5, 6 , MD ;   Seonghae Yoon   7 , MD ;   Hae-Young Lee   8, 9 , MD ;   Kwang-il Kim   1, 9 , MD

1 Departmentof Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

2 Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

3 Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seongnam-si, Republic of Korea

4 Department of Surgery, G Sam Hospital, Gunpo, Republic of Korea

5 Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

6 Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea

7 Department of Clinical Pharmacology and Therapeutic, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

8 Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea

9 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kwang-il Kim, MD
  • Departmentof Internal Medicine
  • Seoul National University Bundang Hospital
  • 82 Gumi-ro, 173 Beon-gil, Bundang-gu
  • Seongnam-si, 13620
  • Republic of Korea
  • Phone: 82 31-787-7032
  • Fax: 82 31-787-4052
  • Email: kikim907@snu.ac.kr