PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH

PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH

Motor symptoms, such as tremors, bradykinesia, stiffness, and posture issues, are produced by the loss of dopamine-producing neurons in the spinal column portion of the brain, which is characteristic of Parkinson's disease (PD). To properly control and treat PD, the condition must be identifie...

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Bibliographic Details
Main Authors: S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-04-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
knn
logistic regression
machine learning. naive bayes
parkinson’s disease
speech disorder
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/04/14203739/jmcms-2504021-Predictive-models-TJ.pdf
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