[1] | Hodgson S., Harrison R.F., Cross S.S., (2006). An automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies, Image and Vision Computing, 24: pp1025-1038. |
|
[2] | Moriishi K., Atsuura, Y.M., (2003). Mechanisms of hepatitis C virus infection, Antivir. Chem. Chemother 14: pp. 285-297. |
|
[3] | Ojugo, A.A., Otakore, O.D., (2018b). Improving early detection of gestational diabetes via intelligent classification models: a case of the Niger Delta region of Nigeria, SciEP Journal of Computer Science & Application, 6(2): pp 82-90. |
|
[4] | WHO, Hepatitis C global prevalence, Weekly Epidemiological Record (World Health Organization), 74, 1999, pp. 421-428. |
|
[5] | Wilkins, T., Zimmerman, D and Schade, R.R., (2010). Hepatitis B: diagnosis and treatment, American Family Physician, 81(8), pp 965-972. |
|
[6] | Ojugo, A.A., Yoro, R.E., (2018). An intelligent lightweight market basket associative rule mining for smartphones cloud-based app, Adv. in Multidisciplinary and Scientific Research, 4(3): pp79-90. |
|
[7] | Fattovich G., Schalm S.W., (2000). Hepatitis C and cirrhosis, in Hepatitis C, T.J. Liang, J.H. Hoofnagle, San Diego, Academic Press, pp. 241–264 eds, 2000. |
|
[8] | Lawrence S.P., (2000). Advances in the treatment of hepatitis C, Advanced in International Medicine. 45: pp .65–105. |
|
[9] | Esrra, M.H., Mai., S.M., (2014). A study of support vector machine algorithm for liver disease diagnosis, American J. Intelligent Systems, 4(1): pp9-15. |
|
[10] | Ursem, R., Krink, T., Jensen, M., Michalewicz, Z., (2002). Analysis and modeling of controls in dynamic systems. IEEE Transaction on Memetic Systems and Evolutionary Computing, 6(4), pp.378-389. |
|
[11] | Ojugo, A.A., Eboka, A.O., (2018). Modeling computational solution of market basket associative rule mining approaches using deep neural network, SciEP Digital Technologies, 3(1): 1-8. |
|
[12] | Ojugo, A.A., Okobah, I.P., (2018). Prevalence rate of the hepatitis B virus infection in Niger Delta Region of Nigeria: a graph-based diffusion heuristic model, Int. Journal of Computer Application, 179(39): pp27-33. |
|
[13] | Ojugo, A.A., Eboka, A.O., Yoro, R.E., Yerokun, M.O., Efozia, F.N., (2015). Hybrid model for early diabetes diagnosis, Mathematics and Computers in Science and Industry, 50: 176-182, ISBN: 978-1-61804-327-6, ISSN: 2227-4588. |
|
[14] | Ojugo, A.A., Eboka, A.O., (2018). Comparative evaluation for performance adaptive model for spam phishing detection, SciEP Digital Technologies, 3(1): pp9-15. |
|
[15] | Aminu, M., Okachi, E.E., Abubakar, S.M., Yahaya, A., (2013). Prevalence of hepatitis B virus surface antigen among healthy asymptomatic students in a Nigerian University. Ann Afr. Med., 12:55-60. |
|
[16] | Emechebe, G.O, Emodi, I.J., Ikefuna, A.N., Ilechukwu, G.C, Igwe, W.C., Ejiofor, O.S., et al. (2009). Hepatitis B virus infection in Nigeria – A review. Niger. Med. Journal, 50:18-22. |
|
[17] | Edo, A.E., Edo, G.O., Ohehen, O.A., Ekhator, N.P., Ordiah, W.C., (2015). Age and diagnosis of type-2 diabetes in Benin City Nigeria, African J. Diabetes Medicine, 23(1), pp18-19. |
|
[18] | Musa, B.M., Bussell, S., Borodo, M.M., Samaila, A.A., Femi, O.L., (2015). Prevalence of hepatitis B virus infection in Nigeria, 2000-2013: a systematic review and meta-analysis, Nigeria J. Clinical Practice. 18: pp183. |
|
[19] | Dongdem, J.T., Kampo, S., Soyiri, I.N., Asebga, P.N., Ziem, J.B., Sagoe, K.. (2012). Prevalence of hepatitis B virus infection among blood donors at the Tamale Teaching Hospital, Ghana. BMC Res Notes, 5: pp115. |
|
[20] | Ado, A, Alhassan, S., Chonoko, U.G., Samaila, A.U., (2010). Sero-prevalence of hepatitis B surface antigen (HBsag) among blood donors attending Ahmadu Bello university teaching hospital (ABUTH), Zaria, Nigeria. Bajopas, 3: 202. |
|
[21] | World Health Organization (2013). Hepatitis B and C, Immunization, Vaccines and Biologicals. [online]: http://www.who.int/immunization/topics/hepatitis/en/. |
|
[22] | WHO, Hepatitis C (Fact Sheet No. 164), World Health Organization, Geneva, 2000. |
|
[23] | Barakat, N.H., Bradley, A.P., Barakat, M.N.H., (2010). Intelligible support vector machines for diagnosis of diabetes mellitus, IEEE Transactions on Information Technology in Biomedicine, 14(4), pp 1114-1120. |
|
[24] | Khashei, M., Eftekhari, S., Parvizian, J., (2012). Diagnosing diabetes type-II using a soft intelligent binary classifier model, Review of Bioinformatics and Biometrics, 1(1), pp 9-23. |
|
[25] | Guo, W.W and Xue, H., (2011) An incorporative statistic and neural approach for crop yield modelling and forecasting, Neural Computing and Applications, 21(1), pp109-117. |
|
[26] | Ojugo, A., Eboka, A., Okonta, E., Yoro, R.E., Aghware, F., (2012). GA rule-based intrusion detection system, J. of Computing and Information Systems, 3(8), pp 1182-1194. |
|
[27] | Ojugo, A.A., Yoro, R.E., (2013a). Computational intelligence in stochastic solution for Toroidal Queen, Progress in Intelligence Computing and Applications, 2(1), pp 46-56. |
|
[28] | Chinenye, S and Young, E., (2011). State of diabetes care in Nigeria: a review, The Nigerian Health Journal, 11(4), pp101-106. |
|
[29] | Coello, C., Pulido, G and Lechuga, M., (2004). Handling multiple objectives with particle swarm optimization, In Proc. of Evol. Computing, 8: 256-263. |
|
[30] | Ojugo, A.A., Otakore, O.D., (2018a). Seeking intelligent convergence for asymptotic stability feats of Prey Predator retarded equation using supervised model, Computing, Information Systems, Development Informatics & Allied Research Journal, 9(2): pp93-102. |
|
[31] | Ojugo, A.A., Emudianughe, J., Yoro, R.E., Okonta, E.O., Eboka, A., (2013b). Hybrid neural network gravitational search algorithm for rainfall runoff modeling, Progress in Intelligence Computing and Application, 2(1), pp 22. |
|
[32] | Ojugo, A.A., R. Abere., A.O. Eboka., M.O. Yerokun., R.E. Yoro., C.C. Onochie., D. Oyemade., (2013c). Hybrid neural network model for rainfall runoffs: comparative study, Advancement in Sci. Engr. Res., 1(2): 47-55. |
|
[33] | Ojugo, A.A., (2012). Artificial neural net gravitational search algorithm for rainfall runoff modeling in hydrology, unpublished PhD Thesis, CS Department: Ebonyi State University Abakiliki, Nigeria. |
|
[34] | Ojugo, A.A., Ben-Iwhiwhu, E., Kekeje, D.O., Yerokun, M.O., Iyawa, I.J.B., (2014). Malware propagation on time varying network, Int. J. Modern Edu. Comp. Sci., 8, pp25-33. |
|
[35] | Reynolds, R., (1994). Introduction to cultural algorithms, Transaction on Evolutionary Programming (IEEE), pp.131-139. |
|
[36] | Perez, M., Marwala, T., (2011). Stochastic optimization approaches for solving Sudoku, IEEE Transaction on Evol. Comp., pp.256-279. |
|
[37] | Heppner, H and Grenander, U., (1990). Stochastic non-linear model for coordinated bird flocks, In Krasner, S (Ed.), The ubiquity of chaos (pp.233-238). Washington: AAAS. |
|