Year: 2025
Type: article
Abstract: Parkinson’s disease affects movement due to loss of dopamine-producing brain cells. This project used deep learning with the Xception model on Kaggle clinical data to detect the disease early. After selecting key features, the model achieved 100% training and 97% test accuracy, showing strong potential for early diagnosis and treatment planning.
Author: A Moni Sree
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409394553