Enhancing Diabetes Prediction With Minimal Processing Time Using Catboost: A Comparative Study
By leveraging the diverse and complementary strengths of ML classifiers, this study contributes to the advancement of precision medicine and personalized healthcare for individuals at risk of diabetes.
Authors
- S Rajeswari
- Sunanda Sahana (ORCID: https://orcid.org/0000-0001-6890-5920)
- M. Sumathi (ORCID: https://orcid.org/0000-0002-8039-0920)
- S. P. Raja
- V. Kruthi
Institutions
- Vellore Institute of Technology University (IN)
- SASTRA University (IN)
Publication Details
- Journal
- Journal of Evaluation in Clinical Practice
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1111/jep.70284
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94