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

Machine Learning (1465) Artificial Intelligence (1371) Health Services Research (482) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Nursing Education and Training (129) Artificial Intelligence (1371) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Clinical Information and Decision Making (1407) Clinical Informatics (1022) Electronic Health Records (1053) Nursing Education and Training (129) Decision Support for Health Professionals (1185) Health Services Research (482)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45377, first published .
Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Authors of this article:

Sungjoo Han1 Author Orcid Image ;   Yong Bum Kim2 Author Orcid Image ;   Jae Hong No2 Author Orcid Image ;   Dong Hoon Suh2 Author Orcid Image ;   Kidong Kim2 Author Orcid Image ;   Soyeon Ahn1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Sungjoo Han   1 , BS ;   Yong Bum Kim   2 , MD, PhD ;   Jae Hong No   2 , MD, PhD ;   Dong Hoon Suh   2 , MD, PhD ;   Kidong Kim   2 , MD, PhD ;   Soyeon Ahn   1 , PhD

1 Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

2 Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

Corresponding Author:

  • Soyeon Ahn, PhD
  • Division of Statistics
  • Medical Research Collaborating Center
  • Seoul National University Bundang Hospital
  • 82 Gumi-ro 173 Beon-gil, Bundang-gu
  • Seongnam, 13620
  • Republic of Korea
  • Phone: 82 31-787-8121
  • Email: ahnsoyeon@gmail.com