Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks-Reference-Cited by-同舟云学术

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Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks

Published:2024-11 Issue: Volume:182 Page:109078
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Jeong Seung-Min,Song Young-Do,Seok Chae-Lin,Lee Jun-Young,Lee Eui Chul^ORCID,Kim Han-Joon

Publisher

Elsevier BV

Reference51 articles.

1. Comorbid chronic diseases, discordant impact on mortality in older people: a 14-year longitudinal population study;Caughey;J. Epidemiol. Community Health,2010

2. Science, medicine, and the future: Parkinson's disease;Schapira;BMJ,1999

3. The prevalence of Parkinson's disease: a systematic review and meta-analysis: PD PREVALENCE, Mov;Pringsheim;Disord.,2014

4. Prevalence of parkinsonism and Parkinson's disease in Europe: the EUROPARKINSON collaborative study. European community concerted action on the epidemiology of Parkinson's disease;de Rijk;J. Neurol. Neurosurg. Psychiatry,1997

5. A comparison of the voice differences of patients with idiopathic Parkinson's disease and a normal-aging group;Kang;Phonetics and Speech Sciences,2009

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