• DR R HEMALATHA
• R BLESSY

Parkinson’s disease (PD) is a progressive neurodegenerative disorder with motor and non-motor symptoms. It is a degenerative movement illness, its symptoms begin mildly and progressively worsen. Parkinson's disease usually starts with mild hand or finger tremors before developing into other symptoms over time. Parkinson's disease is a neurological condition that impairs balance, muscle function, and movement. Although the illness can strike anyone at any age, it most commonly strikes those between the ages of 55 and 75.Accurate early detection is crucial for patient care and clinical trials. Machine learning (ML) methods allow non-invasive analysis of digital biomarkers.Early detection is essential for managing sickness effectively. The K-Nearest Neighbor (KNN) and Feed-forward Neural Network (FNN) models are two Machine Learning (ML) and Deep Learning (DL) techniques that we utilize in this study to differentiate between individuals with Parkinson's disease (PD) and healthy individuals based on voice signal characteristics.

Parkinson’s Disease, Machine Learning, K-Nearest Neighbor (KNN),Feed-forward Neural Network (FNN),Deep Learning (DL)

"DETECTION OF PARKINSON’S DISEASE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.a513-a516, November-2025, Available :http://www.jetir.org/papers/JETIR2511058.pdf

"DETECTION OF PARKINSON’S DISEASE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppa513-a516, November-2025, Available at : http://www.jetir.org/papers/JETIR2511058.pdf