Call for Paper - January 2021 Edition
IJCA solicits original research papers for the January 2021 Edition. Last date of manuscript submission is December 21, 2020. Read More

Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 113 - Number 6
Year of Publication: 2015
Yousuf Qawqzeh
Khalid Nazim Abdul Sattar

Yousuf Qawqzeh and Khalid Nazim Abdul Sattar. Article: Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia. International Journal of Computer Applications 113(6):40-47, March 2015. Full text available. BibTeX

	author = {Yousuf Qawqzeh and Khalid Nazim Abdul Sattar},
	title = {Article: Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {113},
	number = {6},
	pages = {40-47},
	month = {March},
	note = {Full text available}


Breast ailments have affected women since the time of the pharaohs, and can be traced back to the beginning of recorded medical history. It still poses a significant threat to the population. Statistics from the National Cancer Institute place breast cancer at the top of the list of all forms of cancers afflicting women and treated there. In the Kingdom of Saudi Arabia (KSA), breast cancer constitutes 18% of all cancers in Saudi women. In our work we have proposed a prototype (website) which allows the interaction between the patient and the expert system through system's interface. Our approach includes collaborative information provisioning by the community members in additions to other sources of information like online organizations and the experts in the field [3].


  • http://www. cancer. org/acs/groups/content/@nho/documents/document/acspc-024113. pdf.
  • http://www. medicinenet. com/breast_cancer_facts_stages/article. htm.
  • M. I. Ezzeldin , F. A. Al-Mulhim and R. K. Stuart, 1998,Breast cancer in the Eastern Province of Saudi Arabia, Stockton Press, London.
  • Ezzat AA1, Ibrahim EM, Raja MA, Al-Sobhi S, Rostom A, Stuart RK ,1999, Med Oncol; 16(2):95-103.
  • A. P. Giuseppe Boccignone, 2000, Computer Aided Detection of Micro calcifications in Digital Mammograms, in Computers in Biology and Medicine, pp. 267-286.
  • Grobstein, R. H. , 2005, "The Breast Cancer Book: What you need to know to Make Informed Decisions". Yale University Press Health and Wellness ISBN: 0300104138.
  • C. Sheng-Chih-Yang, 2005, Biomedical Engineering- Applications, Basis and Communications 17, in A Computer Aided System for Mass Detection and Classification in Digitized Mammograms, pp. 215-228.
  • Mehul P. Sampat, 2005, "Computer-Aided Detection and Diagnosis in Mammography," Elsevier Academic Press, 2005, pp. 1195-1217.
  • S. T. Harris Georgiou, 2007, Multi-Scaled Morphological Features for the Characterization of Mammographic Masses using Statistical Classification Schemes, in Artificial Intelligence in Medicine, pp. 267-286.
  • Stage IA, 2009, Breast cancer staging. American joint committee on cancer. 7th edition.
  • A. Litman, "Breaking the Breast-Cancer Stigma in Saudi Arabia," 6 May 2011. http://msmagazine. com/blog/blog/2011/05/06/breaking-the-breast-cancer-stigma-in-saudi-arabia.
  • Ellen Warner, M. D. , "Breast-Cancer Screening," The New England Journal of Medicine, 2011; 365:1025-1032
  • Adel Aloraini, 2012, Different machine learning Algorithms for breast cancer Diagnosis. International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 3, No. 6, November 2012, pp: 21-30.
  • Er. Navjot Kaur, Er. Navleen Singh Rekhi, Anand Nayyar, 2013, Review of Expert Systems based on Fuzzy logic. International Journal of Advanced Research in Computer and Communication Engineering. Vol. 2, Issue. pp 1334-1339.
  • Lisa Rosenbaum M. D. , 2014,"Invisible Risks, Emotional Choices — Mammography and Medical Decision Making," The New England Journal of Medicine; 371:1549-1552.