Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI

arXiv:2404.04686v1 Announce Type: new
Abstract: Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires significant time and expertise. Since detecting breast cancer is a time-consuming process, preventing its further spread can be aided by creating machine-based forecasts. Machine learning and Explainable AI are crucial in classification as they not only provide accurate predictions but …

abstract arxiv cancer classification context cs.ai cs.cv cs.lg explainable ai machine machine learning making modeling mortality patients predictive predictive modeling supervised machine learning type