Prediction of incident heart failure and/or re-hospitalization using different risk predictor models in Indian patients
These easily available risk scores can accurately predict events in Indian patients with HF and should be part of clinical workflow.
Authors
- Harshit Khare (ORCID: https://orcid.org/0000-0001-5571-2863)
- Arpita Katheria (ORCID: https://orcid.org/0000-0003-3867-8346)
- S Harikrishnan (ORCID: https://orcid.org/0000-0002-7509-0712)
- Roopali Khanna (ORCID: https://orcid.org/0000-0003-4236-1253)
- Naveen Garg (ORCID: https://orcid.org/0000-0002-4532-0484)
- Ankit Kumar Sahu (ORCID: https://orcid.org/0000-0002-3232-9308)
- Anupam Kumar (ORCID: https://orcid.org/0000-0002-6608-3860)
- Aditya Kapoor
- Sudeep Kumar
- Arshad Nazir
- Satyendra Tewari
Institutions
- APJ Abdul Kalam Technological University (IN)
- Centre of Biomedical Research (IN)
Publication Details
- Journal
- Indian Heart Journal
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.ihj.2025.09.005
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00