@article {10.3844/ajassp.2007.865.873,
article_type = {journal},
title = {A BI-RADS Based Expert Systems for the Diagnoses of Breast Diseases},
author = {Ngah, Umi Kalthum and Aziz, Shalihatun Azlin and Aziz, Mohd. Ezane and Murad, Mazeda and Mahdi, Nik Munirah Nik and Shakaff, Ali Yeon Mat and Isa, Nor Ashidi Mat and Mashor, Mohd. Yusoff and Arshad, Mohd. Rizal},
volume = {4},
year = {2007},
month = {Nov},
pages = {865-873},
doi = {10.3844/ajassp.2007.865.873},
url = {https://thescipub.com/abstract/ajassp.2007.865.873},
abstract = {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.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}