Parkinson's Disease Prediction Using Machine Learning Algorithm

Author:

S Sandhiya1,S Ashok.1,Rao G. Vishnu Vardhan1,V Prabhu1,Mohanraj K.2,Azhagumurugan R.3

Affiliation:

1. Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering,Department of Electronics and Communication Engineering,Chennai,India

2. Sri Sairam Engineering College,Instrumentation and Control Engineering,Chennai,India

3. Sri Sairam Engineering College,Electrical & Elctronics Engineering,Chennai,India

Publisher

IEEE

Reference20 articles.

1. AI Based Waste Classifier With Thermo-Rapid Composting

2. Real-Time classification of Plankton species using Convolutional Neural Networks

3. AquaBot – Water Bodies Cleaning and Monitoring Bot

4. Hybrid Boost Converter for AC and DC Loads Using PV System;porselvi;Recent Advances in Energy Technologies Lecture Notes in Mechanical Engineering,2023

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1. A comparative study: prediction of parkinson’s disease using machine learning, deep learning and nature inspired algorithm;Multimedia Tools and Applications;2024-01-31

2. A Hybrid Machine Learning Framework to Improve Parkinson’s Disease Prediction Accuracy;2023 6th International Conference on Signal Processing and Information Security (ICSPIS);2023-11-08

3. Detecting Parkinson's Disease with Prediction: A Novel SVM Approach;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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