BREAST CANCER DETECTION USING MACHINE LEARNING

BREAST CANCER DETECTION USING MACHINE LEARNING

Ms. Aachal Bhanare, Ms. Amisha Zanjal, Ms. Leesha Tembhurkar, Mr. Gaurav Walmik

Dr. (Mrs.)S.W.Varade (Guide)

Department of Electronics & Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur

Introduction

Technologies in healthcare include maintenance and retrieval of electronic medical records of patients and devices involved. Cancer detection has always been a challenge in the diagnosis and treatment plan for hematological diseases. Currently, an overwhelming percentage of the population is affected by one or more diseases. Recent years have seen tremendous advances in medical science. Despite these advancements, there is still a huge lack of information among the public regarding health and disease. A large proportion of the population likely suffer from health issues, some of which may even be fatal. In addition to improving the accuracy of the rapid detection of fatal conditions, adopting safe, realistic techniques and using modern technology can reduce the need for caregivers and reduce overall health care costs. Several lives could be saved through innovations in intelligent decision-making strategies and technologies.

Cancer is characterized by the rampant and aberrant growth of cells due to a combination of characteristic genetic and epigenetic defects. This uncontrolled growth of the cells contributes to tumour development. If the tumour begins to rapidly metastasize to other organs and systems of the body as the cancer progresses, the disease may already be incurable when discovered. Breast cancer primarily affects women (with < 1% of cases affecting non-females); roughly one in eight women develop breast cancer in their lifetime.