Analysis and Implementation of Machine Learning Model for Detection of Parkinson’s Disease-Reference-Cited by-同舟云学术

Analysis and Implementation of Machine Learning Model for Detection of Parkinson’s Disease

Published:2023-03-23 Issue: Volume: Page:
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Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Spandan Kumar¹,Kumar Biresh²,Banerjee Pallab²,Jha Pooja¹,Pathak Laxmi Kumari¹,Dehury Mohan Kumar¹

Affiliation:

1. Amity Inst. of Information Technology Amity University Jharkhand,Ranchi,INDIA

2. Amity University Jharkhand,Amity School of Engg. and Technology,Ranchi,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10104661.pdf?arnumber=10104661

Reference18 articles.

1. Analysis of surface EMG signal morphology in Parkinson's disease

2. Performance Analysis of ML Techniques in Identification of Fake News

3. Support vector machine classification of parkinson’s disease and essential tremor subjects based on temporal fluctuation;surangsrirat;2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2016

4. E-Commerce Website Usability Analysis Using the Association Rule Mining and Machine Learning Algorithm

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