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A Soft Computing Decision Support System in the Diagnosis of Breast Cancer

by Pankaj Srivastava, Amit Srivastava, Abdul Mannan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 9
Year of Publication: 2013
Authors: Pankaj Srivastava, Amit Srivastava, Abdul Mannan
10.5120/12522-8966

Pankaj Srivastava, Amit Srivastava, Abdul Mannan . A Soft Computing Decision Support System in the Diagnosis of Breast Cancer. International Journal of Computer Applications. 72, 9 ( June 2013), 19-27. DOI=10.5120/12522-8966

@article{ 10.5120/12522-8966,
author = { Pankaj Srivastava, Amit Srivastava, Abdul Mannan },
title = { A Soft Computing Decision Support System in the Diagnosis of Breast Cancer },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 9 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number9/12522-8966/ },
doi = { 10.5120/12522-8966 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:28.633597+05:30
%A Pankaj Srivastava
%A Amit Srivastava
%A Abdul Mannan
%T A Soft Computing Decision Support System in the Diagnosis of Breast Cancer
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 9
%P 19-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is well known that most of Breast cancer diagnosis characterization processes are entirely based on physician's intuition and experience. Since diagnosis of breast cancer involves several layers of uncertainty and imprecision that makes traditional approaches inappropriate. In the present research paper a soft computing diagnostic support system for breast cancer is proposed which is capable enough to capture ambiguous and imprecise information prevalent in breast cancer diagnosis. It is user friendly and will sharpen diagnostic skill of medical practitioners.

References
  1. http://www.news-medical.net/health/History-of-Breast-Cancer.asp
  2. Male breast cancer treatment national cancer institute 2011
  3. World cancer report international agency for research on cancer 2008.
  4. Landis, S. H., Murray, T., Bolden, S., and Wingo, P. A, (1999) “Cancer statistics” CA Cancer J. Clin., 49: 8–31
  5. National Brest Cancer Foundation, Inc, http//www.nationalbrestcancer.org
  6. Danaei G et al. (2005). Causes of cancer in the world: comparative risk assessment of nine behavioral and environmental risk factors. Lancet, 366, 1784–93.
  7. IARC (2008). “World cancer report 2008”. Lyon, International Agency for Research on Cancer.
  8. Lacey JV Jr. et al. (2009). “Breast cancer epidemiology according to recognized breast cancer risk factors in the Prostate, Lung, Colorectal and Ovarian” (PLCO) Cancer Screening Trial Cohort. BMC Cancer, 9, 84.
  9. Clemons M, Goss P, (2011) “Estrogen and the risk of Breast cancer”, The New England journal of medicine., 344: 276-285,
  10. ONS cancer survival in England, patient diagnosed 2004-08 followed up to 2009, http://www.one.gov.uk/ons/publications/re-reference-tables.html
  11. Indap.M.A.,Radhika.S., Motiwale,L., Rao K.V.K., ( 2006) “Anticancer activity of phenolic antioxidants against Breast cancer cells and a spontaneous tumour.”, Indian journal of pharmaceutical science,68(4), 470-474.
  12. Ford D and Easton D.F, (1995) “The genetics of breast and ovarian cancer”, British Journal of Cancer 72, 805-812
  13. Lotfi, A.Z., (1997) “The Roles of Fuzzy Logic and Soft Computing in the Conception, Design and Deployment of Intelligent Systems, in Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications”, Springer-Verlag.
  14. Victor Balanica, IoanDumitrache, MihaiCaramihai, William Rae, Charles Herbst, (2011) “Evolution of Brest Cancer Risk By Using Fuzzy Logic”, U.P.B. Sci. Bull., Series C, Vol. 73, Issue 1.
  15. Sipper M., Reyes C. A. P., (1999) “A fuzzy genetic approach to breast cancer diagnosis”, Artificial Intelligence in Medicine 17 131–155.
  16. Khosravi A., Addeh J., Ganjipour J. (2011) “Breast cancer detection using BA-BP Based neural networks and efficient features. IEEE.
  17. Oprea A., Strungaru R., Ungureanu G. M., (2007)“New segmentation techniques for breast cancer detection based on mammography”, 1st National Symposium on e-Health and Bioengineering, pp. 153-156.
  18. Ekeh A.P., Alleyne R. S., Duncan O. A., (2000) “Role of Mammography in diagnosis of breast cancer in inner-city hospital”, Journal of the National Medical Association, 92:372-374.
  19. Cheng H.D., Cui M., (2004) “Mass lesion detection with a fuzzy neural Network”, Pattern Recognition, 37, 6: 1189-1200.
  20. Pandey D., MahajanVaishali&SrivastavaPankaj (2006) “Rule Based System for Cardiac Analysis”, NATL ACAD SCI LETT, Vol. 29, No. 7&8, pp 299-309
  21. Novruz ALLAHVERDI, Serhat and TORUN Ismail SARITAS, (2007) “Fuzzy Expert System Design for Determination of Coronary Heart Disease Risk” International Conference on Computer Systems and Technologies .
  22. Djam X.Y. and Kimbi Y.H., (2011) “Fuzzy Expert System for the Management of Hypertension” The Pacific Journal of Science and Technology Volume 12. Number 1.May 2011 (Spring)
  23. SrivastavaPankaj, SrivastavaAmit (2012) “A Soft Computing Approach for Cardiac Analysis” Journal of Basic and Applied Scientific Research, 2(1)376-385
  24. SrivastavaPankaj, SrivastavaAmit (2012) “Spectrum of Soft Computing Risk Assessment Scheme for Hypertension” International Journal of Computer Applications, Vol. 44– No17, pp 23- 30
  25. SrivastavaPankaj, SrivastavaAmit, SirohiRitu (2012) “Soft Computing Tools and Classification Criterion for Hepatitis B” International journal of research and reviews in soft and intelligent computing, vol-2, No. 2
  26. SrivastavaPankaj and Sharma Neeraja (2012) “ Soft computing decision support Diagnostic system for Diabetes” International Journal of Computer Applications,Volume 47– No.18
  27. SrivastavaPankaj and Sharma Neeraja (2012) “ soft computing criterion for ECG beat classification and cardiac analysis” International Journal of Intelligent Systems (communicated)
  28. Steiner E., Klubert D., Knutson D.(2008) “Assessing Breast Cancer Risk in Women”, American Family Physician,78(2008), 12
  29. Ries L. A. G., Eisner M. P., Kosary C. L., et al.(2000) (eds). SEER Cancer Statistics Review, 1973–1997, National Cancer Institute. NIH Pub. No. 00– 2789. Bethesda, MD,
  30. Brinton L. A., Schaiere C, Hoover R. N., (1988) “Menstrual factors and risk of breast cancer”. Cancer Invest. 1988; 6: 145–154.
  31. McTiernan A, Kooperberg C, White E, et al, (2003) for the Women’s Health Initiative Cohort Study. Recreational physical activity and the risk of breast cancer in postmenopausal women. JAMA. 290(10):1331-1336.
  32. Lambe M, Hsieh C, Trichopoulos D, Ekbom A, Pavia M, Adami HO. (1994) “Transient increase in the risk of breast cancer after giving birth”. N Engl J Med. 1994; 331(1):5-9.
  33. http://cancerhelp.cancerresearchuk.org/about-cancer/cancer-questions/how-is-breast-feeding-related-to-breast-cancer, 2012
  34. Vogel VG. (1998) “Breast cancer risk factors and preventive approaches to breast cancer”. In: Kavanagh JJ, Singletary SE, Einhorn N, et al. (eds). Cancer in women. Malden, MA: Blackwell Science, 58–91.
  35. Andrew G Renehan, Margaret Tyson, Matthias Egger, Richard F Heller, and Marcel Zwahlen., (2008) “Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies”, The Lancet; 371:569-578.
  36. Singletary S. E.,(2003) Rating the Risk Factors for Breast Cancer., Annals of surgery, 237: 4, 474–482
Index Terms

Computer Science
Information Sciences

Keywords

Soft Computing Breast Cancer Fuzzy Tools

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