PD-ADSV : An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease[Formula presented]

Ghaheri, Paria and Shateri, Ahmadreza and Nasiri, Hamid (2023) PD-ADSV : An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease[Formula presented]. Software Impacts, 16: 100504. ISSN 2665-9638

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Abstract

Parkinson's disease (PD) is the most widespread movement condition and the second most common neurodegenerative disorder, following Alzheimer's. Movement symptoms and imaging techniques are the most popular ways to diagnose this disease. However, they are not accurate and fast and may only be accessible to a few people. This study provides an autonomous system, i.e., PD-ADSV, for diagnosing PD based on voice signals, which uses four machine learning classifiers and the hard voting ensemble method to achieve the highest accuracy. PD-ADSV is developed using Python and the Gradio web framework.

Item Type:
Journal Article
Journal or Publication Title:
Software Impacts
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? gradient boostinglightgbmparkinson's diseasexgboostsoftware ??
ID Code:
223563
Deposited By:
Deposited On:
06 Sep 2024 15:35
Refereed?:
Yes
Published?:
Published
Last Modified:
06 Sep 2024 15:35