Diagnosis of polycystic ovary syndrome through different machine learning and feature selection techniques
H Danaei Mehr, H Polat - Health and Technology, 2022 - Springer
Polycystic ovary syndrome (PCOS) has been determined as one of the serious health
problems among women which affects women's fertility and leads to crucial health …
problems among women which affects women's fertility and leads to crucial health …
Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization
Objective Asthma is the most frequent chronic airway illness in preschool children and is
difficult to diagnose due to the disease's heterogeneity. This study aimed to investigate …
difficult to diagnose due to the disease's heterogeneity. This study aimed to investigate …
Using genetic algorithm for breast cancer feature selection
K Eroltu - International Research Journal of Oncology, 2023 - editor.journal7sub.com
Breast cancer has been one of the most widespread cancer types in women worldwide.
Breast cancer can be treated when detected early; otherwise, it has one of the highest …
Breast cancer can be treated when detected early; otherwise, it has one of the highest …
An optimized approach for class imbalance problem in heterogeneous cross project defect prediction
Background: In recent studies, Cross Project Defect Prediction (CPDP) has proven to be
feasible in software defect prediction. When both the source as well as the target projects …
feasible in software defect prediction. When both the source as well as the target projects …
[PDF][PDF] An optimized approach for class imbalance problem in heterogeneous cross project defect prediction [version 1; peer
Abstract Background: In recent studies, Cross Project Defect Prediction (CPDP) has proven
to be feasible in software defect prediction. When both the source as well as the target …
to be feasible in software defect prediction. When both the source as well as the target …