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  1. Home
  2. Volume 7, Issue 4
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue4

MACHINE LEARNING TECHNIQUE BASED PARKINSON’S DISEASE DETECTION FROM SPIRAL AND VOICE INPUTS

    Jaichandran R Leelavathy S Usha Kiruthika S Goutham Krishna Mevin John Mathew Jomon Baiju

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2815-2820

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Abstract

Parkinson’s disease is a dynamic neurodegenerative disorder influencing over 6 million people
worldwide. However there is no recognized test for PD for patients, particularly in the early stages. This
results in increased mortality rate. Thus detection system of Parkinson’s disease with easy steps and
feasible one to detect parkinson’s disease at the early stage is essential. The proposed system invokes
parkinson’s disease detection using voice and spiral drawing dataset. The patients voice dataset is
analyzed using RStudio with kmeans clustering and decision tree based machine learning techniques.
The patients spiral drawing is analyzed using python. From these drawings principal component analysis
(PCA) algorithm for feature extraction from the spiral drawings. From the spiral drawings : X ; Y; Z;
Pressure; Grip Angle; Timestamp; Test ID values are been extracted. The extracted values are been
matched with the trained database using machine learning technique (Support vector machine) and
results are produced. Thus our experimental results will show early detection of disease which facilitates
clinical monitoring of elderly people and increase their life span by improving their lifestyle which leads
to a peaceful life.
Keywords:
    RStudio kmeans Decision Tree Principal Component Analysis Support Vector Machine
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(2020). MACHINE LEARNING TECHNIQUE BASED PARKINSON’S DISEASE DETECTION FROM SPIRAL AND VOICE INPUTS. European Journal of Molecular & Clinical Medicine, 7(4), 2815-2820.
Jaichandran R; Leelavathy S; Usha Kiruthika S; Goutham Krishna; Mevin John Mathew; Jomon Baiju. "MACHINE LEARNING TECHNIQUE BASED PARKINSON’S DISEASE DETECTION FROM SPIRAL AND VOICE INPUTS". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2815-2820.
(2020). 'MACHINE LEARNING TECHNIQUE BASED PARKINSON’S DISEASE DETECTION FROM SPIRAL AND VOICE INPUTS', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2815-2820.
MACHINE LEARNING TECHNIQUE BASED PARKINSON’S DISEASE DETECTION FROM SPIRAL AND VOICE INPUTS. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2815-2820.
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