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This review aims to explore machine learning techniques for the early detection of Parkinson's disease.

June 13, 2026Open Access

Early Detection of Parkinson's Disease Using Machine Learning: A Comprehensive Review

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Literature review highlights machine learning approaches for early Parkinson's disease detection, suggesting potential advancements.

This review aims to explore machine learning techniques for the early detection of Parkinson's disease.
Comprehensive survey of existing ML models for diagnosing PD
Analysis of various data types and feature extraction methods
Discussion on ethical issues and future directions in PD detection using ML and wearables.
Identified key ML techniques and their effectiveness for early PD diagnosis.
Highlighted challenges and ethical concerns in the use of ML for clinical applications.
Emphasized the need for validating ML models with diverse clinical data.

Itkalkar et al. (2026) studied this question.

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