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Reseach Article

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

by Yousuf Qawqzeh, Khalid Nazim Abdul Sattar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 6
Year of Publication: 2015
Authors: Yousuf Qawqzeh, Khalid Nazim Abdul Sattar
10.5120/19833-1686

Yousuf Qawqzeh, Khalid Nazim Abdul Sattar . Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia. International Journal of Computer Applications. 113, 6 ( March 2015), 40-47. DOI=10.5120/19833-1686

@article{ 10.5120/19833-1686,
author = { Yousuf Qawqzeh, Khalid Nazim Abdul Sattar },
title = { Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 6 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number6/19833-1686/ },
doi = { 10.5120/19833-1686 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:17.284981+05:30
%A Yousuf Qawqzeh
%A Khalid Nazim Abdul Sattar
%T Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 6
%P 40-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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].

References
  1. http://www. cancer. org/acs/groups/content/@nho/documents/document/acspc-024113. pdf.
  2. http://www. medicinenet. com/breast_cancer_facts_stages/article. htm.
  3. M. I. Ezzeldin , F. A. Al-Mulhim and R. K. Stuart, 1998,Breast cancer in the Eastern Province of Saudi Arabia, Stockton Press, London.
  4. Ezzat AA1, Ibrahim EM, Raja MA, Al-Sobhi S, Rostom A, Stuart RK ,1999, Med Oncol; 16(2):95-103.
  5. A. P. Giuseppe Boccignone, 2000, Computer Aided Detection of Micro calcifications in Digital Mammograms, in Computers in Biology and Medicine, pp. 267-286.
  6. 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.
  7. 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.
  8. Mehul P. Sampat, 2005, "Computer-Aided Detection and Diagnosis in Mammography," Elsevier Academic Press, 2005, pp. 1195-1217.
  9. 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.
  10. Stage IA, 2009, Breast cancer staging. American joint committee on cancer. 7th edition.
  11. 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.
  12. Ellen Warner, M. D. , "Breast-Cancer Screening," The New England Journal of Medicine, 2011; 365:1025-1032
  13. 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.
  14. 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.
  15. Lisa Rosenbaum M. D. , 2014,"Invisible Risks, Emotional Choices — Mammography and Medical Decision Making," The New England Journal of Medicine; 371:1549-1552.
Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Base (KB) Breast Cancer Mammogram Magnetic Resonance Imaging (MRI) Positron-Emission Tomography (PET) Fine Needle Aspiration (FNA).