Machine Learning for Early Diagnosis and Treatment of Parkinson's Disease: A Review - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2024

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.

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Dates et versions

hal-04844093 , version 1 (17-12-2024)

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  • HAL Id : hal-04844093 , version 1

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Suhas Reddy, Charu Gupta. Machine Learning for Early Diagnosis and Treatment of Parkinson's Disease: A Review. 2024. ⟨hal-04844093⟩
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