aceEnhancing Liver Cirrhosis Diagnosis Using Machine Learning With Explainable AI and Cross-Validated Hyperparameter Tuning Techniques
Cirrhosis is a form of Chronic Liver Disease (CLD) resulting from sustained liver damage from several causes, including viral infection, autoimmune disorders, cholestatic and metabolic disease Non-Alcoholic Fatty Liver Disease (NAFLD) or heavy alcohol use. Testing for the presence of Liver Cirrhosis (LC) is one of the most critical diagnostics and prognostic assessments for patients. Detecting liver illness in its early stages is challenging as initial symptoms are often mild and difficult to diagnose. Cirrhosis…
An XGBoost classifier paired with explainable AI diagnosed liver cirrhosis at 91.19% accuracy on a cirrhosis dataset under 10-fold cross-validation, and the explanations aim to make model decisions transparent to clinicians.
The abstract reports results only on a cirrhosis dataset using cross-validation and gives no evidence of testing in clinical settings, so real-world diagnostic performance remains unestablished.
Evidence
- Peer-reviewedInternational Journal of Advanced Research in Science Communication and Technology2026-10-18
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Truvace Impact Record TRV-2026-1896, v1: “Enhancing Liver Cirrhosis Diagnosis Using Machine Learning With Explainable AI and Cross-Validated Hyperparameter Tuning Techniques.” Truvace, 2026-10-19. /record/TRV-2026-1896 (accessed at citation time). sha256 53586f8b80c8ae1d…
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