Performance evaluation of machine learning algorithms for Parkinson’s disease identification model
Shivkumar Karalesjkarale@gmail.comDepartment of Computer TechnologyYeshwantrao Chavan College of EngineeringNagpur, Maharashtra, IndiaView full profile → , Nikhil Mangrulkarmangrulkar.nikhil@gmail.comDepartment of Computer TechnologyYeshwantrao Chavan College of EngineeringNagpur, Maharashtra, IndiaView full profile → , Sagarkumar S. Badhiyesagarbadhiye@gmail.comSymbiosis International (Deemed University)Symbiosis Institute of Technology, Nagpur CampusPune, Maharashtra, IndiaView full profile → , Arvind R. Bhagat Patilarbhagatpatil@gmail.comDepartment of Computer TechnologyYeshwantrao Chavan College of EngineeringNagpur, Maharashtra, IndiaView full profile → , *Dinesh BhoyarCorresponding authordinesh.bhoyar23@gmail.comDepartment of Electrical EngineeringYeshwantrao Chavan College of EngineeringNagpur, Maharashtra, IndiaView full profile → , Rajesh Khobragadekhobragaderh@rknec.eduDepartment of Electronics and Computer ScienceShri Rameobaba College of Engineering and ManagementNagpur, Maharashtra, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 30 Mar 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JSMS-1250
- Pages:
- 237–247
Abstract
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References
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[9] Patra, Amit Kumar, et al. “Prediction of Parkinson’s disease using Ensemble Machine Learning classification from acoustic analysis.Journal of Physics: Conference Series. Vol. 1372. No. 1. IOP Publishing (2019).
[10] Aich, Satyabrata, et al. “A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson’s disease.” 2019 21st International Conference on Advanced Communication Technology (ICACT). IEEE (2019).
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