A comparative analysis of machine learning classifiers for chronic liver disease prediction in rats
Use of ML classifiers for disease prediction offers a promising alternative to traditional animal experimentation. Integrating ML into preclinical disease investigations can improve experimental repeatability, reduce variability, and optimize study designs.
Authors
- Abhishek Kaushal (ORCID: https://orcid.org/0000-0003-4870-8545)
- Sangeetha Gupta (ORCID: https://orcid.org/0000-0003-1022-1002)
- S.S. Bisht
- Aqsa Nadeem
Institutions
- Amity University (IN)
- Amity University (AE)
Publication Details
- Journal
- Journal of Pharmacy and Pharmacology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1093/jpp/rgaf121
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00