Forging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria

Abstract

Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel coronavirus (covid-19). Data was collected from Federal Medical Center Epidemiology laboratory (a centralized databank for all cases of the covid-19 in Delta State). Data was split into training and investigation (test) dataset for the target system. Results show high predictive capability.

Predictive Intelligent Decision Support Model in Forecasting of the Diabetes Pandemic Using a Reinforcement Deep Learning Approach

“…Early prediction of diabetes thus, is a complex task due to the chaotic nature of its classification [16][17]. Studies continue to advance early and accurate detection of diabeteseven though, it is a challenging task [18]. Predictions are only an improvised means via which a model allows propagation of a set of observed dataset as the user seeks feats of interest.…”

Tree-classification Algorithm to Ease User Detection of Predatory Hijacked Journals: Empirical Analysis of Journal Metrics Rankings

“…Sampled dataset is from 2016 -2019. We seek to classify the data using process classification algorithm from Dadkhah et al [23] and Ojugo et al [29][30][31][32].…”

Modeling Behavioural Evolution as Social Predictor for the Coronavirus Contagion and Immunization in Nigeria

“…The novel coronavirus caused by severe acute respiratory syndrome coronavirus emerged in the China in December 2019 and was declared a global pandemic by the World Health Organization (WHO) on the 11 March 2020 [1]. Since then, the disease has quickly spread to all continents with over 11-million cases recorded and with a fatality rate of 6.19% noted on 11 April 2020 [2]. The risk of importing COVID-19 from Europe to Africa is higher than its import from China [3].…”

“…Martinez-Alvarez et al [4] compared its transmission (6-days after first detected cases) in selected countries and observed a more rapid spread of the virus in some West African countries than in Europe [5]. Ojugo and Otakore [6] compared situations in Delta State Nigeria and found that this situation is worsened in Nigeria and also in countries ill-equipped to handle covis-19 disease outbreak due to poor surveillance and response systems, inadequate health infrastructure and services, and unqualified medical personnel to handle the desired and targeted outbreak response. Further investigation by Ojugo and Oyemade [7] notes that current triggers (that is, lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent.…”