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Using Machine Learning Methods in Early Diagnosis of Breast Cancer
(2021)
Breast cancer is one of the most important health diseases to be treated in the world, and it is a subject that has a wide place in research subjects. In this study, results are provided by using seven different machine ...
Detection of multiple sclerosis from photic stimulation EEG signals
(2021)
Background: Multiple Sclerosis (MS) is characterized as a chronic, autoimmune and inflammatory disease of the central nervous system. Early diagnosis of MS is of great importance for the treatment and course of the disease. ...
Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks
(2021)
Obesity is a growing societal and public health problem starting from 1980 that needs more attention. For this reason, new studies are emerging day by day, including those looking for obesity in children, especially the ...