Diagnosing Parkinson’s disease by means of ensemble classification of patients’ voice samples
Authors:
- Krzysztof Izydor Wróbel
Abstract
This paper proposes a method for diagnosing Parkinson’s disease using ensemble classification of patient voice samples. Conducted research concerned testing the parameters of the ensemble of classifiers, in terms of types and numbers of classifiers included in it. More than a dozen popular classifiers were considered in the study. Additionally, for each of the tested classifiers, a set of features of voice samples were selected, for which a given classifier showed the highest classification efficiency. The Sequential Backward Selection (SBS), which belongs to the wrapper methods, was used for feature selection. The ensemble of classifiers was then tested in two cases, with all features considered and including only those indicated by the SBS method. The obtained results were compared with each other. All experiments were performed on a publicly available database containing voice samples of Parkinson’s patients and healthy patients. This database can be found in the UCI archives.
- Record ID
- USL855a824234db426393d07353680be080
- Author
- Journal series
- Procedia Computer Science, ISSN 1877-0509, Irregular
- Issue year
- 2021
- Vol
- 192
- Pages
- 3905-3914
- Publication size in sheets
- 0.50
- Keywords in English
- ensemble classification; feature selection; medical diagnosis; Parkinson's disease
- DOI
- DOI:10.1016/j.procs.2021.09.165 Opening in a new tab
- Handle.net URL
- hdl.handle.net/20.500.12128/21730 Opening in a new tab
- URL
- http://hdl.handle.net/20.500.12128/21730 Opening in a new tab
- Language
- eng (en) English
- License
- File
-
- File: 1
- Diagnosing Parkinson’s disease by means of ensemble classification of patients’ voice samples, File Wrobel_Diagnosing_Parkinson’s_disease_by_means_of_ensemble.pdf / 687 KB
- Wrobel_Diagnosing_Parkinson’s_disease_by_means_of_ensemble.pdf
- publication date: 06-02-2024
- Diagnosing Parkinson’s disease by means of ensemble classification of patients’ voice samples, File Wrobel_Diagnosing_Parkinson’s_disease_by_means_of_ensemble.pdf / 687 KB
-
- Score (nominal)
- 70
- Score source
- BIBLIOGRAFIA DOROBKU PRACOWNIKÓW UŚ
- Publication indicators
- = 1
- Uniform Resource Identifier
- https://opus.us.edu.pl/info/article/USL855a824234db426393d07353680be080/
- URN
urn:uni-kat-prod:USL855a824234db426393d07353680be080
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.