Article

Towards Causal Interpretability in Deep Learning for Parkinson’s Detection from Voice Data

2025-04-26

Abstract excerpt

This research introduces a comprehensive framework for Parkinson’s Disease (PD) detection using voice recording data. We implemented and evaluated multiple deep learning models, including a baseline Convolutional Neural Network (CNN), an uncertainty-aware Monte Carlo-Dropout CNN (MCD-CNN), as well as a few-shot learning approach to address dataset size limitations. Our models achieved an accuracy over 90% in class...

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Literature Corpus work: 4a7f0e13-8545-5bb1-ab55-c4bca052b18f
DOI: 10.1101/2025.04.25.25326311

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