Genetic Algorithm Based Selection of Appropriate Biomarkers for Improved Breast Cancer Prediction

2019 ◽  
pp. 724-732
Author(s):  
Arnab Kumar Mishra ◽  
Pinki Roy ◽  
Sivaji Bandyopadhyay
Keyword(s):  
Breast Cancer ◽  
Genetic Algorithm ◽  
Cancer Prediction ◽  
Selection Of

Feature selection of the armature winding broken coils in synchronous motor using genetic algorithm and mahalanobis distance

2012 ◽  
Vol 57 (3) ◽  
pp. 829-835 ◽  
Author(s):  
Z. Głowacz ◽  
J. Kozik
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Mahalanobis Distance ◽  
Distance Measure ◽  
Synchronous Motor ◽  
Medical Diagnostics ◽  
Motor Current ◽  
Feature Spaces ◽  
Multidimensional Feature Spaces ◽  
Selection Of

The paper describes a procedure for automatic selection of symptoms accompanying the break in the synchronous motor armature winding coils. This procedure, called the feature selection, leads to choosing from a full set of features describing the problem, such a subset that would allow the best distinguishing between healthy and damaged states. As the features the spectra components amplitudes of the motor current signals were used. The full spectra of current signals are considered as the multidimensional feature spaces and their subspaces are tested. Particular subspaces are chosen with the aid of genetic algorithm and their goodness is tested using Mahalanobis distance measure. The algorithm searches for such a subspaces for which this distance is the greatest. The algorithm is very efficient and, as it was confirmed by research, leads to good results. The proposed technique is successfully applied in many other fields of science and technology, including medical diagnostics.

scholarly journals Breast Cancer Prediction using Decision Tree

2021 ◽  
Vol 1916 (1) ◽  
pp. 012069
Author(s):  
J S Ravi Shankar ◽  
S Nithish ◽  
M Nithish Babu ◽  
R Karthik ◽  
A Shahid Afridi
Keyword(s):  
Breast Cancer ◽  
Decision Tree ◽  
Cancer Prediction
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