XAI-LiverSHAPNet: Trustworthy Explainable Ensemble Machine Learning Framework for Liver Disease Risk Stratification

Background

Liver diseases constitute one of the most prevalent global health problems that cause millions of deaths every year. Identification of potential patients even prior to their diagnosis could improve the efficacy of screening procedures and ensure timely interventions. Despite promising results yielded by Al and ML techniques in disease diagnostics, current models tend to be opaque and focus on binary disease prediction rather than pre-symptom detection.