Abstract
This research presents Intelligent Decision Framework (IDF) to explore and manage cases of hepatitis c virus based on data mining approach and Fuzzy logic system. The proposed framework is produced from integration between data mining decision tree, rule based classification and fuzzy logic system. On the other hand, this study improves the predication results of Fibrosis stage by using Trapezoidal Fuzzy Number (TFN) distribution as fuzzy logical system to arrive 98.1% compared to predication results that were 92.5% by data mining decision tree model for same patients sample. Fuzzy logic system predicts disease scale of Hepatitis C Virus (HCV) for patients sample through different stages of liver disease caused by virus c. The proposed framework supports physicians and Ministry of Health (MOH) strategies for treatment to limit and control HCV infections and prevalence rate in Egypt and other countries. The extracted knowledge and information from proposed framework helps decision makers to take appropriate and better decision at appropriate time to against hepatitis c viral in world. The architecture of intelligent decision framework is designed to support physicians to investigate and present treatment for HCV cases. Also, to develop intelligent machine, health care system or robots as a physician for HCV patients in high prevalence rate countries.
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References
Gaber, M.: HCV Treatment in Egypt, Economic and Social Justice Unit (2014). https://www.eipr.org/sites/default/files/pressreleases/pdf/hcv_treatment_in_egypt.pdf. Accessed 25 Nov 2017
Springborg, M.: Healthcare – A Growing Industry. https://docfinder.is.bnpparibas-ip.com/api/files/7B6261B5-0809-4693-8D58-B8016A4F276F. Accessed 25 Nov 2017
Sultan,T., Khedr, A., Sabry, S.: Biochemical Markers of Fibrosis for Chronic Liver Disease: Data Mining-Based Approach, Master thesis, FCI, Helwan University, Egypt (2013)
Kaklauskas, A.: Biometric And Intelligent Decision Making Support, Intelligent Systems Reference Library, vol. 81. Springer, Switzerland (2015)
Jantan, H., Hamdan, A., Othman, Z.: Intelligent techniques for decision support system in human resource management, chap. 16, InTechOpen (2010). https://cdn.intechopen.com/pdfs-wm/10951.pdf. Accessed 25 Nov 2017
Elomda, B., Hefny, H., Hasaan, H.: A Soft Computing Approach for Multi Criteria Decision Making System, Master thesis, ISSR, Cairo University, Egypt (2012)
Osofisan, P.: Fuzzy logic control of the syrup mixing process in beverage production. Leonardo J. Sci. 6(11), 93–109 (2007)
Hepatitis C in the UK: 2017 report. https://www.gov.uk/government/publications/hepatitis-c-in-the-uk. Accessed 25 Nov 2017
Hepatitis C around the world. http://hcvadvocate.org/publications/fact-sheets/hcsp-fact-series/hepatitis-c-around-the-world-facts/. Accessed 25 Nov 2017
Hepatitis central in USA. http://www.hepatitiscentral.com/. Accessed 25 Nov 2017
Veteran Treatment. http://www.natap.org/2015/HCV/hepatitis_c_treatment_summary.pdf. Accessed 25 Nov 2017
Salih, A., Abraham, A.: Intelligent decision support for real time health care monitoring system. Advances in Intelligent Systems and Computing, Vol. 334, pp. 183–192. Springer, Cham (2015)
Abraham, A.: Intelligent systems: architectures and perspectives. Recent Advances in Intelligent Paradigms and Applications, pp. 1–36, Springer, Heidelberg (2003)
Ranka, S.: Data Mining. https://www.cise.ufl.edu/class/cis4930fa15idm/index.html. Accessed 25 Nov 2017
El-Zanaty, F., Way, A.: Egypt Demographic and Health Survey 2008, Ministry of Health. https://dhsprogram.com/pubs/pdf/FR220/FR220.pdf. Accessed 25 Nov 2017
Egyptian National Control Strategy for Viral Hepatitis 2008–2012, Ministry of Health (2009). http://www.thebera.eg.net/images/pdf/article1.pdf. Accessed 25 Nov 2017
Transmission of Hepatitis C. http://www.epidemic.org/thefacts/hepatitisc/transmission/. Accessed 25 Nov 2017
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Ali, M.M.R., Helmy, Y., Khedr, A.E., Abdo, A. (2018). Intelligent Decision Framework to Explore and Control Infection of Hepatitis C Virus. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_26
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