Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA)

Author(s):  
M. Sudharsan ◽  
G. Thailambal
2021 ◽  
Author(s):  
Richard Rios ◽  
Elkin A. Noguera-Urbano ◽  
Jairo Espinosa ◽  
Jose Manuael Ochoa

Bioclimatic classifications seek to divide a study region into geographic areas with similar bioclimatic characteristics. In this study we proposed two bioclimatic classifications for Colombia using machine learning techniques. We firstly characterized the precipitation space of Colombia using principal component analysis. Based on Lang classification, we then projected all background sites in the precipitation space with their corresponding categories. We sequentially fit logistic regression models to re-classify all background sites in the precipitation space with six redefined Lang categories. New categories were the used to define a new modified Lang and Caldas-Lang classifications.


Author(s):  
M. Tanveer ◽  
B. Richhariya ◽  
R. U. Khan ◽  
A. H. Rashid ◽  
P. Khanna ◽  
...  

2021 ◽  
Vol 29 (4) ◽  
pp. S47-S48
Author(s):  
Ryan O'Dell ◽  
Albert Higgins-Chen ◽  
Dhruva Gupta ◽  
Ming-Kai Chen ◽  
Mika Naganawa ◽  
...  

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