Analysis of Ensemble of Machine Learning Algorithms for Detection of Parkinson's Disease

Author:

Tallapureddy Gowthami1,Radha D1

Affiliation:

1. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Dept of Computer Science and Engineering,Bengaluru,India

Publisher

IEEE

Reference23 articles.

1. Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review

2. Parkinson's disease Di-agnosis using Voice Signals by Machine Learning Approach;vigneswari;2021 International Conference on Recent Trends on Electronics Information Communication and Technology (RTEICT) IEEE,0

3. A Comparative Study of Existing Machine Learning Approaches for Parkinson's Disease Detection

4. Prediction of Parkinson's Disease Using Ma-chine Learning Models-A Classifier Analysis;surya;Advances in Comput Intell Techn,2022

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3. Parkinson's Disease Diagnosis from Patients Speech Analysis;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. An ensemble technique to predict Parkinson's disease using machine learning algorithms;Speech Communication;2024-04

5. Enhancing Parkinson's Disease Diagnosis using Speech Analysis:A Feature Subset Selection Approach with LIME and SHAP;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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