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

Formative Evaluation of Digital Health Interventions (3272) Artificial Intelligence (2162) Clinical Information and Decision Making (1935) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (721) Myocardial Infarction (Heart Attack) (56) Natural Language Processing (923)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42774, first published .
Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease

Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease

Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease

Authors of this article:

Christine Ngaruiya1, 2 Author Orcid Image ;   Zainab Samad3 Author Orcid Image ;   Salma Tajuddin3, 4 Author Orcid Image ;   Zarmeen Nasim4 Author Orcid Image ;   Rebecca Leff5 Author Orcid Image ;   Awais Farhad3 Author Orcid Image ;   Kyle Pires1 Author Orcid Image ;   Muhammad Alamgir Khan6 Author Orcid Image ;   Lauren Hartz1 Author Orcid Image ;   Basmah Safdar1 Author Orcid Image
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Journals

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