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Harnessing Voice Analysis and Machine Learning for Early Diagnosis of Parkinson's Disease: A Comparative Study Across Three Datasets

2024-04-16

Abstract excerpt

<title>Abstract</title> <p>Objective This study evaluates the efficacy of voice analysis combined with machine learning (ML) techniques in enabling the diagnosis of Parkinson's Disease (PD). Methods Voice data, phonation of the vowel 'a', from three distinct datasets (two from the UCI ML Repository and one from figshare) for 432 participants (278 PD patients) were analyzed. We employed four ML models - Artifici...

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Literature Corpus work: 061d3832-bc4c-5c9f-bdce-7cf74dd306f7
DOI: 10.21203/rs.3.rs-3576457/v3

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