An ensemble technique to predict Parkinson's disease using machine learning algorithms-Reference-Cited by-同舟云学术

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An ensemble technique to predict Parkinson's disease using machine learning algorithms

Published:2024-04 Issue: Volume:159 Page:103067
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Singh Nutan^ORCID,Tripathi Priyanka

Publisher

Elsevier BV

Reference45 articles.

1. Biocomposite's multiple uses for a new approach in the diagnosis of Parkinson's disease using a machine learning algorithm;Al-Husban;Adsorpt. Sci. Technol.,2022

2. Parkinson's disease detection using filter feature selection and a genetic algorithm with ensemble learning;Ali;Diagnostics,2023

3. Feature selection and classification using CatBoost method for improving the performance of predicting Parkinson's disease;Al-Sarem,2021

4. Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements;Avuçlu;Med. Biol. Eng. Comput.,2020

5. Classification of dysphonic voices in Parkinson's disease with semi-supervised competitive learning algorithm;Bao;Biosensors,2022

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