Development and validation of an artificial intelligence-based model for cardiovascular disease prediction using longitudinal data
Deep learning models, such as GRU, can effectively leverage longitudinal medical data to predict future cardiovascular disease events. The models achieved performance comparable to studies that used far more variables, despite relying on a limited feature set.
Authors
- Abbas Asosheh
- Anoshirvan Kazemnejad (ORCID: https://orcid.org/0000-0002-0143-9635)
- Maryam Mahdavi (ORCID: https://orcid.org/0000-0002-8371-0694)
- Davood Khalili (ORCID: https://orcid.org/0000-0003-4956-1039)
- Ahmadreza Tajari
- Kamyab Hosseinpour
Institutions
- Sharif University of Technology (IR)
- Tarbiat Modares University (IR)
- Forschungszentrum Jülich (DE)
- Research Institute for Endocrine Sciences (IR)
- Shahid Beheshti University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-11-22
- DOI
- https://doi.org/10.1186/s12911-025-03280-5
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00