Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

• Published in: Multimedia tools and applications Vol. 83; no. 11; pp. 33207 - 33234
• Main Authors: Saleh, Shawki, Cherradi, Bouchaib, El Gannour, Oussama, Hamida, Soufiane, Bouattane, Omar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2024; Springer Nature B.V
• Subjects: Algorithms; Classifiers; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Disease; Machine learning; Multimedia Information Systems; Nervous system; Neurological diseases; Parkinson's disease; Special Purpose and Application-Based Systems; Speech; Track 2: Medical Applications of Multimedia; Hyperparameters; Ensemble voting classifier; Disease diagnosis; Cross-validation; Healthcare; Parkinson’s disease prediction; Machine Learning

Parkinson’s disease is the second most common neurological disorder that causes significant physical disabilities, decreases the quality of life, and does not have a cure. Because it is a nervous system disorder, it impacts people in different ways, affecting movement and speech and causing muscle s...