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

Clinical Information and Decision Making (1935) Clinical Informatics (1335) Decision Support for Health Professionals (1555) Machine Learning (2095) Infectious Diseases (non-STD/STI) (1728) Nursing and Care for Patients with Infectious or Chronic Conditions (37) Intensive Care Unit (ICU) (160) Tools, Programs and Algorithms (384)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58779, first published .
An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

Authors of this article:

Guanghao Liu1, 2, 3 Author Orcid Image ;   Shixiang Zheng2, 4 Author Orcid Image ;   Jun He1, 2, 5 Author Orcid Image ;   Zi-Mei Zhang6 Author Orcid Image ;   Ruoqiong Wu1, 2 Author Orcid Image ;   Yingying Yu1, 2 Author Orcid Image ;   Hao Fu1, 2 Author Orcid Image ;   Li Han1, 2 Author Orcid Image ;   Haibo Zhu1, 2, 3 Author Orcid Image ;   Yichang Xu1, 2, 7 Author Orcid Image ;   Huaguo Shao1, 2 Author Orcid Image ;   Haidan Yan1, 2, 5 Author Orcid Image ;   Ting Chen1, 2, 8 Author Orcid Image ;   Xiaopei Shen1, 2, 3, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Barkas G, Dimeas I, Kotsiou O. Bug Wars: Artificial Intelligence Strikes Back in Sepsis Management. Diagnostics 2025;15(15):1890 View
  2. Lian X, Liu Y, Liu X, Tao W, Cao B, Fu B, Yang F, Bao Y, Yang K. Artificial intelligence for mortality risk stratification in septic shock: A systematic review and meta-analysis. International Journal of Medical Informatics 2026;207:106197 View
  3. Cheng Y, Guo Y, Zhao Y, Wang C, Zhao X, Yu Q, Huang J, Zhang Y, Zhang J, Liu X, Cai P, Zhang C, Wu B, Guo Y. Development and validation of a machine learning model to predict 30-day mortality in ischemic stroke patients with consciousness impairment: Insights from MIMIC-IV database and multicenter ICU data in China. International Journal of Medical Informatics 2026;207:106203 View