A Parkinson Disease Classification Using Stacking Ensemble Machine Learning Methodology-Reference-Cited by-同舟云学术

A Parkinson Disease Classification Using Stacking Ensemble Machine Learning Methodology

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Joshi Dhyey D.¹,Joshi Hirva H.¹,Panchal Brijeshkumar Y.¹,Goel Parth¹,Ganatra Amit²

Affiliation:

1. Devang Patel Institute of Advance Technology and Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT),Faculty of Technology and Engineering (FTE),Department of Computer Science and Engineering,Anand,India

2. Devang Patel Institute of Advance Technology and Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT),Faculty of Technology and Engineering (FTE),Department of Computer Engineering,Anand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823509.pdf?arnumber=9823509

Reference15 articles.

1. Diagnosis of Parkinson’s Disease using Principal Component Analysis and Boosting Committee Machines

2. Parkinson's disease: clinical features and diagnosis

3. Clinical correlates of selective pathology in the amygdala of patients with Parkinson’s disease

4. What features improve the accuracy of clinical diagnosis in Parkinson's disease: A clinicopathologic study

5. Visual plus nonvisual hallucinations in Parkinson's disease: Development and evolution over 10 years

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