Development of Labeling and Prediction System for Breast Cancer Detection
Rumiyya Alili, Minura Hajisoy, Narmina Mahmudova, Nihat Abdullayev, Jamaladdin Hasanov · 2023
This study uses a variety of machine learning (ML) approaches to offer a labeling and prediction system for breast cancer detection. The system uses a large dataset and preprocessing methods for feature extraction and data quality. To determine which strategy is most successful, ML algorithms are compared. Both a labeling component to aid in correct diagnosis and a prediction component to forecast the existence and severity of cancer are included in the system. Experiments in evaluation show great specificity, sensitivity, and accuracy. Technology gives medical practitioners an important tool and advances machine learning applications in healthcare, transforming cancer detection and diagnosis.