Explainable AI for Parkinson’s disease prediction: A machine learning approach with interpretable models
Current Research in Translational Medicine2025Vol. 73(4), pp. 103541–103541
Citations Over TimeTop 10% of 2025 papers
Adebimpe Esan, David B. Olawade, Afeez A Soladoye, Bolaji A Omodunbi, Ibrahim Adeyanju, Nicholas Aderinto
Abstract
The study demonstrated the effectiveness of an interpretable RF model for accurate PD prediction. Integration of ML and XAI significantly improves clinical decision-making, diagnosis timing, and personalized patient care.
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