Event Dime

Development of a machine learning predictive model for early detection of breast cancer [version 5; peer review: 1 approved, 2 approved with reservations, 2 not approved]

When:

May 9, 2026 · 12:02 PM

Source:

F1000Research

Background Breast cancer remains a significant global health concern, with over 7.8 million cases reported in the last five years. Early detection and accurate classification are crucial for reducing mortality rates and improving outcomes. Machine learning (ML) has emerged as a transformative tool in medical imaging, enabling more efficient and accurate diagnostic processes. Objective This study aims to develop a machine learning-based predictive model for early detection and classification of b