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

Scoping Review Protocols (250) Artificial Intelligence (2122) Clinical Information and Decision Making (1914) Machine Learning (2074) Decision Support for Health Professionals (1538) Cardiac Risk and Cardiac Risk Calculators (102)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69716, first published .
Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review

Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review

Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review

Authors of this article:

Mina Attin1 Author Orcid Image ;   Bryar Shareef1 Author Orcid Image ;   Nelson Appiah-Agyei1 Author Orcid Image ;   Farzana Mahamud Rini1 Author Orcid Image ;   Xan Goodman1 Author Orcid Image ;   Lauren Bredesky1 Author Orcid Image ;   Jonathan A Chavez1 Author Orcid Image ;   Rawa Mohammed1 Author Orcid Image ;   Kavita Batra1 Author Orcid Image
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Mina Attin   1 * , PhD ;   Bryar Shareef   1 * , PhD ;   Nelson Appiah-Agyei   1 , BS ;   Farzana Mahamud Rini   1 , BS ;   Xan Goodman   1 , MLIS ;   Lauren Bredesky   1 , MS ;   Jonathan A Chavez   1 , BS ;   Rawa Mohammed   1 , BS ;   Kavita Batra   1 , PhD

1 University of Nevada, Las Vegas, Las Vegas, NV, United States

*these authors contributed equally

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