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A Framework for Diagnosing Confusable Diseases using Neutrosophic based Neural Network

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Okpako Abugor Ejaita, Asagba P. O.

Okpako Abugor Ejaita and Asagba P O.. A Framework for Diagnosing Confusable Diseases using Neutrosophic based Neural Network. International Journal of Computer Applications 167(1):1-7, June 2017. BibTeX

	author = {Okpako Abugor Ejaita and Asagba P. O.},
	title = {A Framework for Diagnosing Confusable Diseases using Neutrosophic based Neural Network},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {1},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {1-7},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017913336},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The two major motivations in medical science are to prevent and diagnose diseases. Diagnosis of disease must be done with care since it is the first stage of therapeutic actions towards eventual management of the disease; a mistake at this stage is disastrous and such adequate care must be ensured. Diagnosis becomes difficult in medical domain due to influence of medical uncertainties that arises from confusability in disease symptomatic presentation between two diseases. This confusability of these diseases stems from the overlaps in the disease symptomatic presentation and has led to misdiagnosis with various degrees of associated costs and in worst cases led to death. In this research, we present the analysis of the existing systems and finally present a framework for the diagnosis of confusable disease using neutrosophic-based neural network.


  1. Bammer G, Smithson M and Group G. (2008).The nature of uncertainty. Uncertainty and Risk: Multidisciplinary Perspectives. London: Earthscan; 289–304.
  2. Berlin A., Sorani M., Sim I.(2006), Journal of Biomedical Informatics 39, 656.
  3. Evans, D.A., and Gadd, C.S. (1989). Managing coherence and context in medical problem-solving discourse. In D. Evans & V. Patel (Eds.), Cognitive Science in Medicine: Biomedical Modelling, 11-255. MIT Press, Cambridge, Massachusetts
  4. Fatumo S.A, Emmanuel Adetiba, J.O Onolapo (2013), “Implementation of XpertMaltyph: An Expert System for Medical Diagnosis of the Complication of Malaria and Typhoid “, IOSR Journal of Computer Engineering, 8(5), s34-40,
  5. Fries J.F, Hochberg MC, Medsger TA, et al.(1194) Criteria for rheumatic disease. Different types and different functions. The American College of Rheumatology Diagnostic and Therapeutic Criteria Committee. Arthritis Rheum 37:454-62.
  6. George Becks, M. Dotoli, Diechrich craf key-serlink, Jan Jantzen (2000): fuzzy clustering. A versatile means to Explore medical Database, ESIT Aachen Germany.
  7. John, R.I and Innocent,P.R (2005). Modeling uncertainty in clinical diagnosis using fuzzy logic: Systems, Man and Cybernetics Part B; Cybernetic, IEEE transaction on 35(6),1346-1358
  8. Joop P van de Merwe (2004)- Design of Criteria for Diagnosis - ESSIC Meeting - Copenhagen 4 June 2004Joop P van de Merwe - Design of Criteria for Diagnosis - ESSIC Meeting - Copenhagen
  9. Joop, V. M. (2005): Diagnosis and differential diagnosis of Alcoholic liver Diseases.
  10. Lincoln, M.J (1999), in clinical decision support systems. E.S Berner,Ed.(Springer-Verlag, Newyork) 169-198.
  11. McCormick, K. M. (2002). A concept analysis of uncertainty in illness. Journal of Nursing Scholarship, 32 (2), 27-131.
  12. Miller R. A. and Geissbuhler .A (1999): In Clinical Decision Support Systems E. S. Berner, Ed. (Springer-Verlag, New York), 3(34.)
  13. Mishel, M. H. (1988). Uncertainty in illness. Image: Journal of Nursing Scholarship, 20(4), 225
  14. Mohammed Abdullah Alghamdi, Sunil G Bhirud and Afshar M. Alam.(2015).Physician's Decision Process for Disease Diagnosis of Overlapping Syndrome in Liver Disease using Soft Computing Model. International Journal of Soft Computing and Engineering (IJSCE) 4(6).
  15. Musen M. A.(1997) , in Handbook of medical informatics J. H. V. a. M. Bemmel, M. A. , Ed. (Bohn Stafleu Van Loghum, Houten ).
  16. Njafa J.P. Tchapet, Nana Engo S.G. and Woafo P.(2013), “Quantum Associative Memory for the diagnosis of some tropical diseases”, Cornell University,, retrieved 30/01/2016.
  17. Oguntimilehin A, Adetunmbi A.O. and Abiola O.B.(2015), A Review of Predictive Models on Diagnosis and Treatment of Malaria Fever, International Journal of Computer Science and Mobile Computing,4(5).
  18. Paul Han .KJ, Klein W.M.P, Arora N.K.(2011) Varieties of uncertainty in health care: a conceptual taxonomy. Med Decis Making.
  19. Peter Szolovits (2011) Uncertainty and Decisions in Medical Informatics,MedDecis Making.; 31(6): 828–838.
  20. Reggia, J (1981), Annals of biomedical Engineering 9,605.
  21. Singhai M, Rawat V, Singh P,and Goyal R. (2016) “Fatal case of concomitant Hepatitis E and Salmonella paratyphi A infection in a sub-Himalayan patient”. Ann Trop Med Public Health
  22. Sim I. et al.(2001), Journal of American Medical Informatics Association, 527
  23. Smarandache F.(1998). A Unifying Field in Logics. Neutrosophy: Neutrosophic Probability, Set and Logic. Rehoboth: American Research Press.
  24. Smarandache F.(1999), Linguistic Paradoxists and Tautologies, Libertas Mathematica, University of Texas at Arlington, Vol. XIX,
  25. Smarandache F., “A Unifying Field in Logics(2002): Neutrosophic Logic, in Multiple-Valued Logic,” An International Journal, 8(3), 385-438.
  26. Smithson M. (1989): Ignorance and Uncertainty: Emerging Paradigms. New York: Springer Verlag
  27. Uzoka F.M.E, Akinnuwesi B.A, Amoo T, Aladi F, Fashoto S., Olaniyan P, and Osuji J(2016): A framework for early differential diagnosis of tropical confusable diseases using fuzzy cognitive map engine.


Decision Support System, Medical Uncertainties, Neutrosophic Logic, Confusable Diseases