Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis

Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis

Abstract Deep learning (DL) techniques are becoming more popular for diagnosing Parkinson’s disease (PD) because they offer non-invasive and easily accessible tools. By using advanced data analysis, these methods improve early detection and diagnosis, which is crucial for managing the disease effect...

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Bibliographic Details
Main Authors: Ilias Tougui, Mehdi Zakroum, Ouassim Karrakchou, Mounir Ghogho
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Parkinson’s disease
Voice data
Deep learning
Transfer learning
Fine-tuning
Transformers
Online Access:https://doi.org/10.1038/s41598-024-81824-x
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https://doi.org/10.1038/s41598-024-81824-x

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