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

Artificial Intelligence (1751) Validity, Reliability, and Bias (103) Intensive Care Unit (ICU) (138) Clinical Information and Decision Making (1663) Clinical Informatics (1165) Machine Learning (1745) Electronic Health Records (1187)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69293, first published .
Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Authors of this article:

Zhuo Zheng1 Author Orcid Image ;   Jiawei Luo2 Author Orcid Image ;   Yingchao Zhu1 Author Orcid Image ;   Lei Du1 Author Orcid Image ;   Lan Lan3 Author Orcid Image ;   Xiaobo Zhou4 Author Orcid Image ;   Xiaoyan Yang2 Author Orcid Image ;   Shixin Huang5 Author Orcid Image
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