


Volume 20 No 20 (2022)
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A PROPOSED DEVICE: DEVELOPMENT OF DOCTORS’ HELPING HAND FOR DIAGNOSIS OF PARKINSON’S DISEASE (PD)
Mrs. Rasika Ameya Hardikar, Mr. Shivam Dandavate
Abstract
Parkinson's disease (PD) is a chronic progressive neurodegenerative disease that affects
movement. Dopamine is a neurotransmitter of the catecholamine and Phenethylamine
families that plays a number of important roles in the human brain and body. And, in case
of PD number of cells get reduced which produce this. Motor symptoms of PD include
Tremor, Rigidity, Bradykinesia, and Postural Instability. Whereas non-motor symptoms
include Disorders in speech, Depression, Drowsiness, Slowness in Saccade movements.
This paper proposes an idea about the device which will become helping hand for doctors in
the diagnosis of PD. A kind of device can be developed with the help of Machine Learning
techniques such as supervised learning algorithms viz. decision Tree, Neural Networks, and
Bayesian Networks can be chosen. On the other hand, unsupervised learning algorithms
viz. K-clustering, Expectation-Minimization, and PCA. From the literature survey done so
far, authors realize that inputs with patient’s speech, walking and reading abilities will
impact accuracy and efficiency of device proposed.
Keywords
Parkinson's disease, Motor Symptoms, Nonmotor Symptoms, Machine Learning (ML), Supervised ML Algorithms, Unsupervised ML Algorithms
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