Research Article Open Access

A BI-RADS Based Expert Systems for the Diagnoses of Breast Diseases

Umi Kalthum Ngah1, Shalihatun Azlin Aziz1, Mohd. Ezane Aziz1, Mazeda Murad1, Nik Munirah Nik Mahdi1, Ali Yeon Mat Shakaff2, Nor Ashidi Mat Isa3, Mohd. Yusoff Mashor4 and Mohd. Rizal Arshad3
  • 1 ,
  • 2 Hospital Universiti Sains Malaysia, Malaysia
  • 3 Universiti Sains Malaysia, Malaysia
  • 4 Universiti Malaysia Perlis, Malaysia
American Journal of Applied Sciences
Volume 4 No. 11, 2007, 865-873


Submitted On: 28 February 2007 Published On: 30 November 2007

How to Cite: Ngah, U. K., Aziz, S. A., Aziz, M. E., Murad, M., Mahdi, N. M. N., Shakaff, A. Y. M., Isa, N. A. M., Mashor, M. Y. & Arshad, M. R. (2007). A BI-RADS Based Expert Systems for the Diagnoses of Breast Diseases. American Journal of Applied Sciences, 4(11), 865-873.


We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic (MAMMEX) and breast ultrasound (SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording and Data System (BI-RADS) based upon patients' history, physical and clinical assessment as well as mammograms and breast ultrasound images. The systems were tested on a total of 179 retrospective cases from the Radiology Department, Hospital Universiti Sains Malaysia (HUSM), Kubang Kerian, Kelantan. The accuracy, sensitivity and specificity of MAMMEX were 97%, 96% and 92% and values of 99%, 98% and 100% were found for SOUNDEX respectively.

  • 3 Citations



  • Expert Systems
  • Knowledge-Based Systems
  • Mammograph
  • Ultrasound
  • Breast Cancer