American Journal of Modeling and Optimization
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American Journal of Modeling and Optimization. 2019, 7(2), 42-48
DOI: 10.12691/ajmo-7-2-2
Open AccessArticle

Quest for Prevalence Rate of Hepatitis-B Virus Infection in the Nigeria: Comparative Study of Supervised Versus Unsupervised Models

R.E. Yoro1, and A.A. Ojugo2

1Department of Computer Science, Delta State Polytechnic Ogwashi-Uku, Delta State, Nigeria

2Department of Mathematics/Computer Science, Federal University of Petroleum Resources Effurun, Delta State, Nigeria

Pub. Date: November 21, 2019

Cite this paper:
R.E. Yoro and A.A. Ojugo. Quest for Prevalence Rate of Hepatitis-B Virus Infection in the Nigeria: Comparative Study of Supervised Versus Unsupervised Models. American Journal of Modeling and Optimization. 2019; 7(2):42-48. doi: 10.12691/ajmo-7-2-2


Vaccination against Hepatitis-B virus (HBV) and its infection in Nigeria, is lower than many other sub-Saharan African countries. HBV currently in Nigeria, is reported to be the most common cause of many chronic liver disease. Many studies have ensued to ascertain the extent of HBV exposure amongst Nigerians, owing to facts that its average risk is unknown. In this study, we seek to predict estimated HBV prevalence rate in Niger Delta, and within the sub-groups. We use 30,000 HBV-registered cases as predicted using supervised models below. Result shows a hyper-endemic HBV prevalence rate of infection in the Niger Delta region as trend for the highest chronic liver disease in Sub‑Sahara Africa. Study suggests that large numbers of pregnant women and children were exposed to HBV; And increased efforts should be geared towards preventing new HBV infections are urgently needed in Nigeria.

hepatitis memetic simulated annealing supervised unsupervised

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