Accessibility settings

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

Decision Support for Health Professionals (2310) Clinical Informatics (2363) Clinical Information and Decision Making (3850) Computer-Aided Diagnosis (435)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76417, first published .
Doctor discusses medication with elderly male patient in hospital bed

Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV

Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV

Authors of this article:

Guangyong Jin1, 2 Author Orcid Image ;   Menglu Zhou3 Author Orcid Image ;   Jiayi Chen1, 2 Author Orcid Image ;   Mengyuan Diao1 Author Orcid Image ;   Wei Hu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li Z, Zhang J, Zhang Z, Wang L. Machine learning prediction of in-hospital mortality risk among hospitalized patients with secondary bloodstream infection: a retrospective cohort study. BMC Infectious Diseases 2026;26(1) View
  2. Su Q, Zhou Y, Chen J, Ling Q, Jiang Y, Chen W, Mao E, Qu H, Wang R, Zhu D, Zhao G, Wang S, Wang Q, Zhu C, Gao Y, Chen E, Chen Y. Development and external validation of a prediction model for major adverse kidney events within 30 days in sepsis associated acute kidney injury: a multi-center retrospective clinical study. BMC Medical Informatics and Decision Making 2026;26(1) View