International Journal of Innovative Research in Computer Science and Technology
Year: 2016, Volume: 4, Issue: 1
First page : ( 24) Last page : ( 27)
Online ISSN : 2350-0557.
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Ajay Kumar Shrivastava , Akash Rajak, Niraj Singhal
The problem of health monitoring has been taken as it is one of the challenging problems in rural areas where people many times do not get proper treatment and are not financially sound to visit doctors in city. Tuberculosis is an infectious disease and many lives are lost due to lack of proper treatment which in turn can be saved if proper prognosis is done in time. In this paper, a detailed study has been done to design a system for diagnosing tuberculosis using adaptive neuro fuzzy inference system (ANFIS)
[1] Ansari, A.Q.; Gupta, N.K.; Ekata, E., “Adaptive neurofuzzy system for tuberculosis”, in 2nd IEEE International Conference on Parallel Distributed and Grid Computing (PDGC), 2012, pp.568-573.
[2] Eker, B, Ortmann, J, Migliori, G. B, Sotgiu, G, Muetterlein, R, Centis, R, Hoffmann, H, Kirsten, D, Schaberg, T, Ruesch-gerdes, S, & Lange, C. “Multidrug- and extensively drug-resistant tuberculosis, Germany”, Emerging Infectious Diseases, vol. 14 no. 11, 2008, pp.1700-1706.
[3] Espinal, M. A, Laszlo, A, Simonsen, L, Boulahbal, F, Kim, S. J, Reniero, A, Hoffner, S, Rieder, H. L, Binkin, N, Dye, C, Williams, R, & Raviglione, M. C., “Global trends in resistance to antituberculosis drugs”, The New England Journal of Medicine vol.344, no. 17, 2001, pp. 1294-1303.
[4] Hussain, S. Shahbudin, H. Husain, S. A. Samad, N. M. Tahir, “A Simplified Shock Graph for Human Posture Classification Using the Adaptive Neuro Fuzzy Inference System”, Journal of Information & Computational Science, Vol.9, Issue 8, 2012, pp. 2035-2048.
[5] Kakar M, Nyström H, Aarup LR, Nøttrup TJ, Olsen DR., “Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)”, Physics in Medicine and Biology, Vol. 50, Issue 19, 2005, pp. 4721-4728.
[6] Masjedi, M. R, Farnia, P, Sorooch, S, Pooramiri, M. V, Mansoori, S. D, Zarifi, A. Z, Velayati, A. A, & Hoffner, S., “Extensively drug resistant tuberculosis: 2 years of surveillance in Iran”, Clinical Infectious Diseases, vol. 43, no.7, 2006, pp. 840-847.
[7] Wagholikar K.B., Vijayraghavan S., Deshpande A.W., “Fuzzy naive bayesian model for medical diagnostic decision support”, in IEEE Annual International Conference Engineering in Medicine and Biology Society, 2009, pp. 3409-3412.
Department of IT, Krishna Institute of Engineering & Technology, Ghaziabad, India, +919873657877, (e-mail: ajay@kiet.edu).
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