Leveraging ChatGPT for Enhancing Breast Cancer Detection Using Machine Learning

Abstract

Breast cancer is one of the most common and life-threatening diseases affecting women globally. Early and accurate detection is crucial for improving patient outcomes and reducing mortality rates. Machine learning (ML) models have demonstrated remarkable potential in assisting with breast cancer diagnosis through data-driven approaches that can identify patterns in complex datasets more effectively than traditional methods. In this context, ChatGPT, an advanced language model, offers valuable assistance by enhancing several aspects of the breast cancer detection process, such as model development, data preprocessing, and troubleshooting. It supports researchers by providing real-time code generation, model optimization techniques, and detailed explanations of ML concepts, thereby streamlining the process of building accurate and robust models. This paper discusses the ways ChatGPT aids in breast cancer detection using machine learning, including technical guidance, code generation, and knowledge enhancement, making AI-driven healthcare research more accessible.

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