Early Detection of Breast Cancer with IoT: A Promising Solution

Abstract

Breast cancer is a serious health concern that affects millions of women worldwide. Early detection is crucial for effective management and increasing the chances of survival. However, traditional methods of breast cancer detection can be time-consuming, expensive, and inaccessible to many women. In recent years, the Internet of Things (IoT) has emerged as a promising solution for healthcare providers to monitor and manage patients remotely. By leveraging IoT devices such as wearables and sensors, healthcare providers can collect data on patients' health and track changes over time. This paper explores the use of IoT in breast cancer detection and management. Breast Cancer Detection System using IoT presented in this work that combines wearable devices and sensors to monitor changes in breast tissue and collect data on a patient's health. The collected data is analysed using machine learning algorithms to identify potential abnormalities and provide early warning signs of breast cancer. The system is designed to be affordable and accessible, making it particularly suitable for use in low-income or rural areas where traditional methods of breast cancer detection may not be available.