scholarly journals Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 116480-116489 ◽  
Author(s):  
Liaqat Ali ◽  
Ce Zhu ◽  
Noorbakhsh Amiri Golilarz ◽  
Ashir Javeed ◽  
Mingyi Zhou ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Learning System ◽  
Disease Detection ◽  
Adaptive Boosting

scholarly journals Enhanced Optimal Feature Selection Techniques for Parkinson’s disease Detection using Machine Learning Algorithms

2020 ◽  
Vol 9 (3) ◽  
pp. 4375-4384
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Parkinson Disease ◽  
Measurement Problem ◽  
Mass Measurement ◽  
Machine Learning Algorithms ◽  
Disease Detection ◽  
Learning Approaches ◽  
Selection Algorithms

Parkinson disease is a common mass measurement problem in public health. Machine-based learning is used to differentiate between the stable and Parkinson's disease people. This paper provides a comprehensive review of the Parkinson disease buying estimate using machine-based learning approaches. A brief introduction is given to various methods of artificial intelligence, focused on strategies used to predict Parkinson disease. This paper also offers a study of the results obtained by using MRMR feature selection algorithms with four classifications for Parkinson’s disease detection using python

scholarly journals Automatic quality control and enhancement for voice-based remote Parkinson’s disease detection

2021 ◽  
Vol 127 ◽  
pp. 1-16
Author(s):  
Amir Hossein Poorjam ◽  
Mathew Shaji Kavalekalam ◽  
Liming Shi ◽  
Jordan P. Raykov ◽  
Jesper Rindom Jensen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Quality Control ◽  
Disease Detection ◽  
Automatic Quality Control

Medical follow up assessments of iPrognosis application users for early Parkinson's disease detection

2020 ◽  
Vol 79 ◽  
pp. e37
Author(s):  
L. Klingelhoefer ◽  
S. Bostanjopoulou ◽  
D. Trivedi ◽  
S. Hadjidimitriou ◽  
D. Hausbrand ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Detection ◽  
Early Parkinson’S Disease
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