A novel approach for accurate disease prediction: Application to heart and liver diseases
The developed hybrid model has enhanced prediction accuracy irrespective of sample size and effectively handles both balanced and imbalanced data, reducing the need to identify suitable balancing techniques. Improved efficiency can help with early detection, better decision-making, and improved health systems.
Authors
- B. Ismail (ORCID: https://orcid.org/0000-0001-9832-297X)
- Satyanarayana Poojari
Institutions
- Yenepoya University (IN)
- Manipal Academy of Higher Education (IN)
Publication Details
- Journal
- Journal of Education and Health Promotion
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4103/jehp.jehp_167_25
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00