Accessibility settings

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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1005) Clinical Information and Decision Making (3544) Decision Support for Health Professionals (2125) Machine Learning (3058) Infectious Diseases (non-STD/STI) (1904) Artificial Intelligence (4549)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45515, first published .
Doctor comforting patient in hospital bed

Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Authors of this article:

Jian Liu1 Author Orcid Image ;   Jia Chen2 Author Orcid Image ;   Yongquan Dong3 Author Orcid Image ;   Yan Lou4 Author Orcid Image ;   Yu Tian5 Author Orcid Image ;   Huiyao Sun2 Author Orcid Image ;   Yuqing Jin2 Author Orcid Image ;   Jingsong Li6 Author Orcid Image ;   Yunqing Qiu7 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Cai D, Sun T, Wei J, Deng L, Deng Y, Pan L, Wang J, Huang J, Zhang Y, Gu Q, Chen Q, Wang Q, Yin A, Wang R, Sun L. Explainable Artificial Intelligence–driven Risk Assessment for Malignant Ventricular Arrhythmia and Mortality in Acute Myocardial Infarction. Canadian Journal of Cardiology 2025;41(12):2521 View
  2. Hong T, Ren Z, Fang J, Quan S, Pan J, Lin Y. Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study. JMIR Medical Informatics 2026;14:e81145 View