Plantar Pressure Response for Classification of Parkinson’s Disease patients with Gait Abnormalities using Machine Learning

Author:

Afzal Namra1,Ramzan Bisma2,Fatima Noor2,Khalid Mina1,Waris Asim1,Gilani Syed Omer1,Anwar Muhammad Nabeel1

Affiliation:

1. National University of Science and Technology, H12,School of Mechanical and Manufacturing Engineering,Biomedical Engineering Department,Islamabad,Pakistan

2. University of Engineering and Technology,Department of Biomedical Engineering,Lahore,Pakistan

Publisher

IEEE

Reference18 articles.

1. Gait Analysis Based Approach for Parkinson’s Disease Modeling with Decision Tree Classifiers;krajuškina;Proc - 2018 IEEE Int Conf Syst Man Cybern SMC 2018,2018

2. Pattern recognition methods for multi stage classification of Parkinson’s disease utilizing voice features;caesarendra;IEEE/ASME Int Conf Advanced Intelligent Mechatronics AIM,2015

3. RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis

4. How Many Trees in a Random Forest?

5. Parkinson's disease classification using gait analysis via deterministic learning

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