Feature Selection and Classification Algorithm Approaches for Parkinson's Disease Detection

Author(s):  
Hendra Marcos ◽  
Budi Warsito ◽  
Adi Wibowo

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


2021 ◽  
Vol 127 ◽  
pp. 1-16
Author(s):  
Amir Hossein Poorjam ◽  
Mathew Shaji Kavalekalam ◽  
Liming Shi ◽  
Jordan P. Raykov ◽  
Jesper Rindom Jensen ◽  
...  

2020 ◽  
Vol 79 ◽  
pp. e37
Author(s):  
L. Klingelhoefer ◽  
S. Bostanjopoulou ◽  
D. Trivedi ◽  
S. Hadjidimitriou ◽  
D. Hausbrand ◽  
...  

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