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Call for Papers:Vol.11 Issue.3

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Title: :  Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach
PaperId: :  23783
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23783
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Himaja GBNM Institute of Technology
Dr. Nagarathna C RBNM Institute of Technology
Kundan K MBNM Institute of Technology
Jayasri ABNM Institute of Technology

Abstract

Artificial Intelligence and Machine Learning Engineering
Machine Learning, random forest, support vector machine, parkinsons disease.
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms, making early diagnosis challenging yet critical for effective treatment. This project presents a novel approach to PD detection, utilizing a combination of voice recordings, spiral drawings, and wave patterns to create a comprehensive dataset. By integrating advanced machine learning techniques, such as Support Vector Machines (SVM) and Random Forest, with rigorous data preprocessing, we aim to offer a reliable, non-invasive, and user-friendly diagnostic tool. Our methodology begins with data acquisition from diverse sources, followed by preprocessing steps like grayscale conversion, image resizing, and thresholding to standardize the data. Feature extraction methods, including Histogram of Oriented Gradients (HOG), extract relevant patterns from images, while key statistical features are derived from voice recordings. The resulting models, optimized with GridSearchCV, are evaluated through metrics like accuracy, F1-score, and precision to ensure robustness. Deployment in a Flask-based web application allows patients to upload their data and doctors to interpret the results, paving the way for earlier detection of PD and improved patient outcomes.

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IJARIIE Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. "Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 1094-1100
MLA Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. "Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 1094-1100.
APA Himaja G, Dr. Nagarathna C R, Kundan K M, & Jayasri A. (2024). Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 1094-1100.
Chicago Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. "Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 1094-1100.
Oxford Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. 'Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 1094-1100. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Early_Detection_of_Parkinson’s_Disease_using_Handwriting_and_Voice_Analysis__A_Machine_Learning_Approach_ijariie23783.pdf (Accessed : ).
Harvard Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. (2024) 'Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 1094-1100IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Early_Detection_of_Parkinson’s_Disease_using_Handwriting_and_Voice_Analysis__A_Machine_Learning_Approach_ijariie23783.pdf (Accessed : )
IEEE Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A, "Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 1094-1100, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Early_Detection_of_Parkinson’s_Disease_using_Handwriting_and_Voice_Analysis__A_Machine_Learning_Approach_ijariie23783.pdf [Accessed : ].
Turabian Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. "Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Himaja G, Dr. Nagarathna C R, Kundan K M, and Jayasri A. Early Detection of Parkinson’s Disease using Handwriting and Voice Analysis: A Machine Learning Approach. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 1094-1100. Available from: https://ijariie.com/AdminUploadPdf/Early_Detection_of_Parkinson’s_Disease_using_Handwriting_and_Voice_Analysis__A_Machine_Learning_Approach_ijariie23783.pdf
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