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Clinical Information and Decision Making (2105) Tools, Programs and Algorithms (417) Decision Support for Health Professionals (1659) Machine Learning (2261) Artificial Intelligence (2399) Precision Medicine (189)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63847, first published .
Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Authors of this article:

Hongwei Zhang1 Author Orcid Image ;   Mengyuan Diao1 Author Orcid Image ;   Sheng Zhang2 Author Orcid Image ;   Peifeng Ni1 Author Orcid Image ;   Weidong Zhang3 Author Orcid Image ;   Chenxi Wu3 Author Orcid Image ;   Ying Zhu1 Author Orcid Image ;   Wei Hu1 Author Orcid Image
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Journals

  1. Vattipally V, Kramer P, Hao C, Elshareif M, Khalilullah T, Jo J, Suarez J, Sakran J, Haut E, Huang J, Bettegowda C, Azad T. Physiology-informed machine learning for patient-level surgical decision-making in severe traumatic brain injury: Multicenter model development with external validation. Journal of Clinical Neuroscience 2026;149:112014 View