Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36477, first published .
A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study

A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study

A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study

Authors of this article:

Min Chen1 Author Orcid Image ;   Xuan Tan2 Author Orcid Image ;   Rema Padman3 Author Orcid Image

Journals

  1. Kumar R, Sood P, Nirala R, Ade R, Sonaji A. Uses of AI in Field of Radiology- What is State of Doctor & Pateints Communication in Different Disease for Diagnosis Purpose. Journal for Research in Applied Sciences and Biotechnology 2023;2(5):51 View
  2. Aksoy Ö, Ayvaci M, Cezar A, Raghunathan S. When Systemic Biases Taint Algorithms: A Path to More Equitable Access in Healthcare. SSRN Electronic Journal 2024 View