Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach
The findings suggest that the proposed model can support clinical decision-making and guide future research in cardiovascular medicine.
Authors
- Irina A Dinu (ORCID: https://orcid.org/0000-0001-6925-623X)
- Leili Tapak (ORCID: https://orcid.org/0000-0002-4378-3143)
- Mahlagha Afrasiabi (ORCID: https://orcid.org/0000-0001-9472-4453)
- Seyed Kianoosh Hosseini (ORCID: https://orcid.org/0000-0001-6265-5932)
- Zahra Aghababaei (ORCID: https://orcid.org/0000-0002-3386-6906)
- Mahdi Rasoulinia
Institutions
- Hamedan University of Medical Sciences (IR)
- University of Alberta (CA)
- Hamedan University of Technology (IR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1186/s12911-025-03217-y
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Hamadan University of Medical Sciences