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

Machine Learning (1401) Electronic Health Records (971) Clinical Information and Decision Making (1340) Innovations and Technology in Cancer Care (405) Decision Support for Health Professionals (1147)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23147, first published .
Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

Authors of this article:

Yong-Yeon Jo1 Author Orcid Image ;   JaiHong Han2 Author Orcid Image ;   Hyun Woo Park1 Author Orcid Image ;   Hyojung Jung1 Author Orcid Image ;   Jae Dong Lee1 Author Orcid Image ;   Jipmin Jung3 Author Orcid Image ;   Hyo Soung Cha3 Author Orcid Image ;   Dae Kyung Sohn4 Author Orcid Image ;   Yul Hwangbo1 Author Orcid Image
Article Authors Cited by (12) Tweetations (14) Metrics

Yong-Yeon Jo   1 , PhD ;   JaiHong Han   2 , MD ;   Hyun Woo Park   1 , PhD ;   Hyojung Jung   1 , BS ;   Jae Dong Lee   1 , MS ;   Jipmin Jung   3 , MS ;   Hyo Soung Cha   3 , PhD ;   Dae Kyung Sohn   4 , MD, PhD ;   Yul Hwangbo   1 , MD, PhD

1 Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea

2 Department of Surgery, National Cancer Center, Goyang, Republic of Korea

3 Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea

4 Center for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Republic of Korea

Corresponding Author: