XGBoost-Liver: An Intelligent Integrated Features Approach for Classifying Liver Diseases Using Ensemble XGBoost Training Model
The liver is a crucial gland and the second-largest organ in the human body and also essential in digestion, metabolism, detoxification, and immunity. Liver diseases result from factors such as viral infections, obesity, alco... | Find, read and cite all the research you need on Tech Science Press
Authors
- Sumaiya Noor (ORCID: https://orcid.org/0000-0001-9739-4592)
- Salman A. AlQahtani (ORCID: https://orcid.org/0000-0003-1233-1774)
- Salman Khan (ORCID: https://orcid.org/0000-0001-9065-3168)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061700
- Citations
- 13
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 38.19
Funders
- King Saud University