Uchenna Chinedu Nduka

Quantifying the Accuracy-Explainability Trade-off in Statistical and Machine Learning Models Across Multiple Clinical Datasets: A Cross-Pathology Validation Framework

Objective: The rapid digitisation of healthcare has necessitated the development of high-performance predictive models for clinical diagnostics. While traditional statistical frameworks such as Multiple Logistic Regression (MLR) are favoured for their intrinsic interpretability, they often encounter an accuracy ceiling...