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Bagged Fuzzy-Rough Nearest Neighbors (BFRNN): A Novel Ensemble Learning Algorithm for Disease Diagnosis and Prognosis Prediction

2023-10-22 health informatics Title + abstract only
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Purpose of the study is to develop a novel machine learning (ML) algorithm that can accurately predict malignant versus benign tumors. A novel ML hybrid ensemble model called "Bagged Fuzzy-Rough k-Nearest Neighbors" (BFRNN) was developed. BFRNN is an improvement over the widely used k-Nearest Neighbors algorithm due to its use of fuzzy-rough logic and an unique ensemble voting algorithm. Initially, graphical libraries were used to visualize the Wisconsin Breast Cancer biomarker dataset (WBCBD) t...

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