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Author

Jafar Ababneh

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Open access 2026

Spearman-guided XGBoost Classification for Breast Cancer Diagnosis Using the Wisconsin Diagnostic Dataset

A comprehensive Machine Learning framework that employs k-Nearest Neighbors, Random Forest, Logistic Regression, and Extreme Gradient Boosting algorithms to analyze a breast cancer dataset obtained from the UCI repository underscores the potential of ML-driven approaches in enhancing breast cancer diagnostics and contr...

Hani Attar, Jafar Ababneh, Waleed Alomoush et al. · 0 citations
Open access 2025

Automated Diagnosis of Mitral Valve Diseases Using Echocardiographic Images: A Comparative Study of GLCM Features and Deep Learning Techniques

Combining GLCM texture analysis with ML provides a potential way of improving the precision and reliability of MV disease diagnosis, ultimately supporting efforts to enhance public health and early disease diagnosis, in alignment with global healthcare initiatives.

Hani Attar, Jafar Ababneh, Omar A. Sarhan et al. · 0 citations

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