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

Pilot studies (non-ehealth) (82) Clinical Information and Decision Making (1681) Decision Support for Health Professionals (1355) Machine Learning (1762) Cognitive and Neurorehabilitation (304) Intensive Care Unit (ICU) (140) Artificial Intelligence (1767)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65190, first published .
Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Authors of this article:

Ryo Esumi1 Author Orcid Image ;   Hiroki Funao2 Author Orcid Image ;   Eiji Kawamoto1 Author Orcid Image ;   Ryota Sakamoto3 Author Orcid Image ;   Asami Ito-Masui1 Author Orcid Image ;   Fumito Okuno4 Author Orcid Image ;   Toru Shinkai4 Author Orcid Image ;   Atsuya Hane4 Author Orcid Image ;   Kaoru Ikejiri4 Author Orcid Image ;   Yuichi Akama1 Author Orcid Image ;   Arong Gaowa1 Author Orcid Image ;   Eun Jeong Park1 Author Orcid Image ;   Ryo Momosaki5 Author Orcid Image ;   Ryuji Kaku6 Author Orcid Image ;   Motomu Shimaoka1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Ji S, Shi Y, Fan X, Ye B, Tao T. Intraoperative oxygen concentration and postoperative delirium in elderly patients undergoing major abdominal surgery: a prospective randomized controlled clinical trial. International Journal of Colorectal Disease 2025;40(1) View