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
Gender-based differences in clinical presentation and medication management were demonstrated in patients with AMI at a tertiary care hospital in Pakistan. The use of NLP for the identification of culturally nuanced clinical characteristics and management is feasible in LMICs and could be used as a tool to understand gender disparities and address key clinical priorities in LMICs.
Authors
- Awais Farhad (ORCID: https://orcid.org/0000-0001-8833-4088)
- Rebecca Leff (ORCID: https://orcid.org/0000-0001-9254-6884)
- Zainab Samad (ORCID: https://orcid.org/0000-0003-2422-3199)
- Kyle D. Pires (ORCID: https://orcid.org/0000-0001-6247-8761)
- Zarmeen Nasim (ORCID: https://orcid.org/0000-0002-6972-6665)
- Basmah Safdar (ORCID: https://orcid.org/0000-0002-9640-7133)
- Salma Tajuddin (ORCID: https://orcid.org/0000-0003-4008-3456)
- Christine Ngaruiya (ORCID: https://orcid.org/0000-0002-4583-0986)
- M. Anees Khan (ORCID: https://orcid.org/0000-0003-1327-9787)
- Lauren Hartz
Institutions
- Aga Khan University (PK)
- Mayo Clinic (US)
- Yale University (US)
- Stanford Medicine (US)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-12-20
- DOI
- https://doi.org/10.2196/42774
- Citations
- 1
- Primary Topic
- Acute Myocardial Infarction Research
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Yale University