Prediction of Parkinson's Disease & Severity of the Disease using ML & DL Algorithms

Shruti Bachhav , Vaishnavi Gitte , Vaishnavi Jyotik , Gayatri Khokrale

Parkinson's Disease Detection, Machine Learning, Early Detection, Convolutional Neural Networks (CNN), Feature Extraction, Accuracy Improvement, Neurodegenerative Diseases, Pattern Recognition, Predictive Analytics, Early Intervention

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms, severely impacting the quality of life of affected individuals. Early diagnosis of Parkinson's is crucial for managing symptoms and slowing disease progression. Traditional diagnostic methods often rely on clinical assessments, which can be subjective and may lead to delayed diagnosis. In recent years, machine learning techniques, particularly Convolutional Neural Networks (CNNs), have shown great promise in the early detection of Parkinson's disease by analyzing medical imaging data and other biometric signals. This study proposes a novel approach to Parkinson's detection using a CNN-based model that processes and analyzes various forms of input data, including brain imaging scans (e.g., MRI, fMRI). The CNN architecture is optimized for high accuracy and sensitivity, with a particular focus on minimizing false negatives, which are critical in medical diagnostics. The proposed model is evaluated against traditional diagnostic methods and other machine learning models, showing superior performance in both accuracy and speed.

Published Paper   E-Certificate

"Prediction of Parkinson's Disease & Severity of the Disease using ML & DL Algorithms", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b90-b94, October-2024, Available :https://ijnrd.org/papers/IJNRD2410112.pdf

Volume 9 Issue 10, October-2024

Pages : b90-b94

Paper Reg. ID: IJNRD_301135

Published Paper Id: IJNRD2410112

Downloads: 00038

Research Area: Science and Technology

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410112

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410112

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition