Machine Learning for Early Diagnosis and Treatment of Parkinson's Disease: A Review
Résumé
Parkinson's Disease (PD) is a progressive neurodegenerative disorder that significantly impacts the quality of life. Early diagnosis and effective treatment are critical for managing the disease. This review focuses on recent advancements in the use of machine learning (ML) for the early diagnosis of PD from voice data and the application of ML in the treatment of PD. We analyze various feature selection techniques and machine learning algorithms that have been employed in this domain. Additionally, we explore the emerging role of ML in improving treatment outcomes for PD patients.
Origine | Fichiers produits par l'(les) auteur(s) |
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