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

Stroke (321) Machine Learning (3275) Cardiac Risk and Cardiac Risk Calculators (181) Artificial Intelligence (4898) Intensive Care Unit (ICU) (192)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82042, first published .
Hospital bed with IV drip and vital signs monitor

Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study

Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study

Authors of this article:

Kun Zhang1 Author Orcid Image ;   Ruomeng Chen1 Author Orcid Image ;   Jingyi Yang2 Author Orcid Image ;   Yan Yan1 Author Orcid Image ;   Lijuan Liu1 Author Orcid Image ;   Chaoyue Meng1 Author Orcid Image ;   Peifang Li3 Author Orcid Image ;   Guoying Xing4 Author Orcid Image ;   Xiaoyun Liu1 Author Orcid Image
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  1. Nwobi N. Integrating machine learning and geomatics in modelling gully erosion susceptibility in Awka and Idemili areas of Anambra state, Nigeria. Applied Geomatics 2026;18(3) View
  2. Gu G, Shi H, Wang G, Chen J. Baseline and 72-h dynamic laboratory deficit burden for mortality through day 90 after acute ischemic stroke in critical care: landmark analyses with temporal validation. Frontiers in Neurology 2026;17 View
  3. Li D, Liu R, Xu H, Tong H, Chen K, Yao J. Statin use and all-cause mortality in critically ill ischemic stroke patients: a time-dependent Cox analysis with external validation highlighting enhanced survival benefits in dementia subgroups. Frontiers in Aging Neuroscience 2026;18 View