Prediction of Breast Cancer Type Based on Artificial Intelligence Technique

Authors

  • Shameem Hasan

DOI:

https://doi.org/10.31695/IJASRE.2019.33048

Keywords:

Artificial Neural Network, Malignant tumor, Benign tumor, Mammogram, Mean Square Error.

Abstract

The fundamental cause of death among women in developing nations of the world is breast cancer. It is very common and is
considered the second most dangerous disease all over the world due to its death rate. Recently, there has been a dramatic increase in breast cancer cases among women. It is known to us that at the time of mutation, cells get an ability to go on dividing
without control and results in forming a tumor. This tumor can be of benign or malignant in nature. The benign tumors are not
dangerous but malignant tumors are dangerous to health. The unchecked malignant tumors have the ability to spread in other
parts of the body. At the primary stage, breast screening is a method of detecting breast cancer. The first step involves taking an
x-ray of each breast which is called a mammogram. The mammogram can detect small changes in breast tissue which may
indicate cancers which are too small to be felt. Artificial Neural Network is an effective tool that has found application in the field
of medical diagnosis for early detection and diagnosis of breast cancer. If breast cancer is detected in early stage, chances of
survival are comparatively high.

Published

2019-01-07

How to Cite

Shameem Hasan. (2019). Prediction of Breast Cancer Type Based on Artificial Intelligence Technique. I. J. Of Advances in Scientific Research and Engineering-IJASRE (ISSN: 2454 - 8006), 5(1), 43-50. https://doi.org/10.31695/IJASRE.2019.33048