PARKINSON’S DISEASE PREDICTION USING MACHINE LEARNING

PARKINSON’S DISEASE PREDICTION USING MACHINE LEARNING

C.Surekha ,A.Sathwika Goud, Ellumvilayil Shajimon Shaliya, Ch.Padmavathi,P. Manoj Yadav

Computer Science and Engineering (Internet of Things)

Hyderabad Institute of Technology And Management

Medchal,India

ABSTRACT
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non- motor symptoms, posing significant challenges for early detection and accurate diagnosis. Machine learning (ML) techniques have emerged as powerful tools for predicting PD onset, enabling timely interventions and personalized treatment strategies. The use of machine learning enables objective assessment, personalized medicine, and efficient analysis of large-scale biomedical data. This research contributes to advancing Parkinson's disease diagnosis, management, and research, ultimately improving patient outcomes and healthcare efficiency.

Keywords: Parkinson's disease, Machine learning, biomedical data.