Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting-Reference-Cited by-同舟云学术

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Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting

Published:2023-12 Issue: Volume:20 Page:100266
ISSN:2590-0935
Container-title:Medicine in Novel Technology and Devices
language:en
Short-container-title:Medicine in Novel Technology and Devices

Author:

Abedinzadeh Torghabeh Farhad,Hosseini Seyyed Abed^ORCID,Ahmadi Moghadam Elham

Publisher

Elsevier BV

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous)

Reference34 articles.

1. Parkinson's disease;Kalia;Lancet,2015

2. Parkinson's disease;Dauer;Neuron,2003

3. Motor/nonmotor symptoms and progression in patients with Parkinson's disease: prevalence and risks in a longitudinal study;Yoritaka;Parkinsons Dis,2020

4. Past, present, and future of Parkinson's disease: a special essay on the 200th Anniversary of the Shaking Palsy;Obeso;Mov Disord,2017

5. Many faces of Parkinson's disease: non-motor symptoms of Parkinson's disease;Lee;Mov Disord,2015

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases;Gait & Posture;2024-09

2. Detection of Parkinson disease using multiclass machine learning approach;Scientific Reports;2024-06-15

3. Predictive Models in the Diagnosis of Parkinson’s Disease Through Voice Analysis;Lecture Notes in Networks and Systems;2024

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