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

New in JMIR: A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Deter… https://t.co/dEWLF1svBb

3:37 PM · Jan 30, 2023

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RT @jmirpub: New in JMIR: A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of…

3:38 PM · Jan 30, 2023

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Model that uses machine learning methods and patient data at #hospital arrival predicts strokes more accurately… https://t.co/xSDSgx4fIL

5:46 PM · Apr 19, 2023

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RT @medical_xpress: Model that uses machine learning methods and patient data at #hospital arrival predicts strokes more accurately @carneg…

5:46 PM · Apr 19, 2023

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RT @medical_xpress: Model that uses machine learning methods and patient data at #hospital arrival predicts strokes more accurately @carneg…

8:08 PM · Apr 19, 2023

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Journal of Medical Internet Research - A Machine Learning Approach to Support Urgent Stroke Triage Using Administra… https://t.co/2LPNflty4g

9:12 PM · Apr 19, 2023

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