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UTILIZING PROCESSED RECORDS OF PATIENT´S SPEECH IN DETERMINING THE STAGE OF PARKINSON´S DISEASE
- Source :
- Acta Electrotechnica et Informatica, Vol 18, Iss 3, Pp 35-40 (2018)
- Publication Year :
- 2018
- Publisher :
- Technical University of Kosice, Faculty of Electrical Engineering and Informatics, 2018.
-
Abstract
- The medical procedures for disease diagnostics are significantly demanding and time-consuming. Data mining methods can accelerate this process and assist doctors in making decisions in complex situations. In case of Parkinson´s disease (PD), the diagnostics of the initial disease stage is the primary issue since the symptoms are not so unambiguous and easily observable. Therefore, this article is focused on determining the actual stage of PD based on the data recording signals of patient´s speech using decision trees (C4.5, C5.0 and CART). Methods such as RandomForest, Bagging and Boosting were also employed to improve the existing classification models. Estimation of model accuracy was achieved by using k-fold cross-validation and validation with omission of one record (Leave-one-out). In addition, experiments were also performed to remove collinearity in data by computing the Variance inflation factor (VIF) in order to increase the accuracy of the models.
- Subjects :
- Pediatrics
medicine.medical_specialty
Parkinson's disease
Polymers and Plastics
business.industry
speech
medicine.disease
stage
Parkinson´s disease
Industrial and Manufacturing Engineering
correlation
medicine
lcsh:Electrical engineering. Electronics. Nuclear engineering
Business and International Management
Stage (cooking)
business
lcsh:TK1-9971
Subjects
Details
- ISSN :
- 13383957 and 13358243
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Acta Electrotechnica et Informatica
- Accession number :
- edsair.doi.dedup.....9f2cb5e9085eb09d14f7026efab3716d