Журнал компьютерных наук и системной биологии

Optimizing Number of Inputs to Classify Breast Cancer Using Artificial Neural Network

Abstract

Bindu Garg, M.M. Sufian Beg and A.Q. Ansari

The Objective of this research work is to prove significant role of each attribute to decide breast cancer type using Computer Aided Diagnosis. One of major challenges in medical domain is the extraction of intelligible knowledge from medical diagnostic data in minimum time and cost This research shows that out of these attributes stated, some attributes can be ignored to decide the type Breast Cancer as if the number of inputs are less then it reduces the time and cost in analyzing the breast cancer. In this paper, significant role of each attribute is proved by experiment in matlab.