Prediction of major outcomes in patients with malignant hypertension using machine learning: A report from the West Birmingham malignant hypertension registry
The application of ML algorithms facilitates effective prediction of prognostic outcomes in MHT patients, illustrating their potential utility in clinical decision-making through more targeted risk stratification and individualised patient care.
Authors
- Antonis Argyris (ORCID: https://orcid.org/0000-0002-8906-6959)
- Eduard Shantsila (ORCID: https://orcid.org/0000-0002-2429-6980)
- Hironori Ishiguchi (ORCID: https://orcid.org/0000-0003-4597-7862)
- Yalin Zheng (ORCID: https://orcid.org/0000-0002-7873-0922)
- Alena Shantsila (ORCID: https://orcid.org/0000-0002-0594-8576)
- Yang Chen (ORCID: https://orcid.org/0000-0002-2808-6286)
- DG Beevers
- Gregory Y. H. Lip
Institutions
- Medical University of Białystok (PL)
- University of Liverpool (GB)
- Birmingham City Hospital (GB)
- Liverpool Heart and Chest Hospital (GB)
- Liverpool John Moores University (GB)
- Aalborg University (DK)
Publication Details
- Journal
- European Journal of Clinical Investigation
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1111/eci.70052
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Hellenic Atherosclerosis Society