Papers by Jeremiah Balogun
This study was motivated at developing an ensemble of 3 supervised machine learning algorithms fo... more This study was motivated at developing an ensemble of 3 supervised machine learning algorithms for the assessment of the severity of sickle cell disease (SCD) among paediatric patients. The study collected data from a tertiary hospital in south-western Nigeria following the identification of variables required for assessing the severity of SCD. The study also adopted the use of 3 supervised machine learning algorithms namely: naive Bayes (NB), C4.5 decision trees (DT) and support vector machines (SVM) for creating the ensemble model using a 10-fold cross validation technique. The models were created by adopting the algorithms in isolation and in combination of 2 and 3 which were compared. The developed models were evaluated in order to present the model with the best performance. The results of the study showed that using an ensemble of DT and NB alone provided the best performance. The study has implications in presenting a model for improving the assessment of the severity of SCD among paediatric patients in Nigeria.
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Journal of Computer Science and Its Application, Aug 25, 2022
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IGI Global eBooks, May 13, 2022
This chapter was developed with a view to present a predictive model for the classification of th... more This chapter was developed with a view to present a predictive model for the classification of the level of CD4 count of HIV patients receiving ART/HAART treatment in Nigeria. Following the review of literature, the pre-determining factors for determining CD4 count were identified and validated by experts while historical data explaining the relationship between the factors and CD4 count level was collected. The predictive model for CD4 count level was formulated using C4.5 decision trees (DT), support vector machines (SVM), and the multi-layer perceptron (MLP) classifiers based on the identified factors which were formulated using WEKA software and validated. The results showed that decision trees algorithm revealed five (5) important variables, namely age group, white blood cell count, viral load, time of diagnosing HIV, and age of the patient. The MLP had the best performance with a value of 100% followed by the SVM with an accuracy of 91.1%, and both were observed to outperform the DT algorithm used.
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Journal of Information Technology Research, 2022
This study formulated a model for assessing the risk of coronavirus disease (COVID-19) based on v... more This study formulated a model for assessing the risk of coronavirus disease (COVID-19) based on variables associated with the spread of COVID-19 infections. The study used the Mamdani fuzzy logic model based on a multiple input and single output (MISO) scheme which required 12 inputs and 1 output variable. Each of the input variables was identified using binary values, namely: No and Yes while the spread of COVID-19 was assessed using four nominal linguistic values. Two triangular membership functions were used to formulate each associated variable and four triangular membership functions to formulate the spread of COVID-19 using specific crisp intervals. The results of the study showed that 4096 rules were inferred from the possible combination of the binary linguistic values of the associated variables for the assessment of the spread of COVID-19. The study concluded that knowledge about variables associated with the spread of COVID-19 infection can be adopted for supporting decis...
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This study aims to understand the trend of social media adoption among youths especially undergra... more This study aims to understand the trend of social media adoption among youths especially undergraduates of Nigerian tertiary institutions. This study used a questionnaire for identifying the various social media platforms. Also, the study formulated a polynomial function for estimating the number of students who will adopt the use of social media platforms based on the number of years after the year of social media adoption. The results of the study show that the social media platform adopted by Nigerian undergraduate students include: Facebook, Twitter, Instagram, SnapChat, WhatsApp, LinkedIn, WeChat, ResearchGate, Academia and Line. The results show that the most commonly used platforms are: Facebook, SnapChat, Twitter and Instagram while the earliest adopted platforms include: Facebook in 2007, Twitter in 2009 including Instagram and WhatsApp in 2010. The results showed that the infusion model for the adoption of social media was formulated, using a polynomial function with the b...
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International Journal of Computer Applications, 2019
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Data in Brief
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A questionnaire which contained two parts was designed. Content and face validation were done on ... more A questionnaire which contained two parts was designed. Content and face validation were done on the questionnaire by experts in that area to ascertain that the tool would measure what it was designed for. Random sampling method was used to select 300 participants from a population size of 1790 secondary school teachers in AMAC. The first part of the questionnaire was used to obtain respondents' demographic data as shown in Table 1 and the second part was used to understand the relationship between IT and standard of education in Abuja Municipal Area Council (AMAC). A response rate of 100% was gotten after the questionnaires were distributed by the researchers in various schools chosen for the study. The internal consistency of the tool yielded a Cronbach alpha value of 0.84 which indicated that the tool has a relatively high reliability. The questionnaire contained two parts, the first section was used to capture the bio-data while the second section was used to assess the level of contribution that the use of IT had towards the achievement of Educational goals and objectives. The questionnaire was used to ascertain the contribution of IT to effective teaching and to evaluate the relationship between IT usage in teaching and standard of Education.
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The need for a classification model to carry out field-based assessment of the yield of maize pla... more The need for a classification model to carry out field-based assessment of the yield of maize plant based on severity<br>of symptoms informed this research. The study proposes a fuzzy-based model with triangular membership functions for the fuzzification of risk factors which were identified by experts of maize plant yield. Thirty-two rules were inferred using IF-THEN statements which adopted the values of the<br>associated risk factors as antecedent and the yield of maize plant as the consequent part. The fuzzy logic model was simulated using five risk factors as input variables and the plant's yield as the output variable. The results showed that associated risk factors include the presence of black mould growth; blights on leaves, rots on cobs, infected husks and black kernels, and seed decay have noticeable influence on the yield of maize plant. The study concluded that the lesser the presence of such risk factors, the higher the yield of the maize plant. <br>
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Computational Methods and Algorithms for Medicine and Optimized Clinical Practice, 2019
This study focuses on the assessment of different ICT tools used by Nigerian health workers. Stru... more This study focuses on the assessment of different ICT tools used by Nigerian health workers. Structured questionnaires were used to collect information from 106 respondents. The questionnaire consists of 5 sections, namely: demographics, extent of use of ICT, tasks and activities carried out with ICT, the year of adoption of ICT. Descriptive statistics tools were used for data summarization and visualization. The results showed that the ICT devices were more commonly used among females than male medical personnel which were most common among the age group of 26-30 years and were nurses and doctors with less than 5 years' experience. The earliest ICT tool adopted was the PC in 1994 followed by mobile phones and search engines in 1996 and the projector in 2001. A majority of the health workers used ICT for administrative functions followed by research and personal work. ICT majorly impacted ICT by promoting collaboration among physicians, quicker medical diagnoses of diseases, inc...
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This study focused on the development of a prediction model using identified classification facto... more This study focused on the development of a prediction model using identified classification factors in order to classify the risk of jaundice in selected neonates. Historical dataset on the distribution of the classification of risk of jaundice among neonates was collected using questionnaires following the identification of associated classification factors of risk of jaundice from medical practitioners. The dataset containing information about the classification factors identified and collected from the neonates were used to formulate predictive model for the classification of risk of jaundice using 2 machine learning algorithm – Naive Bayes’ classifier and the multi-layer perceptron.The predictive model development using the decision trees algorithm was formulated and simulated using the WEKA software.The predictive model developed using the multi-layer perceptron and Naive Bayes’ classifier algorithms were compared in order to determine the algorithm with the best performance.Th...
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Periodontal disease is a common inflammatory condition which affects the supporting and surroundi... more Periodontal disease is a common inflammatory condition which affects the supporting and surrounding soft tissues of the tooth; also the jawbone itself when in its most advanced stages, in its early stage called Gingivitis and later stage called Periodontitis. This paper developed an online population based periodontal disease surveillance system that allows for easy access to statistics of periodontal occurrence on real-time basis. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. The simple interface design proved to be user-friendly for all users that handled the system. The system will also go a long in solving the problem of poor health care system for periodontal patients as access to information and statistics of periodontal occurrence is made real-time.
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International journal of child health and human development, 2017
(ProQuest: ... denotes formulae omitted.)IntroductionEpidemic diseases have highly destructive ef... more (ProQuest: ... denotes formulae omitted.)IntroductionEpidemic diseases have highly destructive effects around the world and these diseases have affected both developed and developing nations. Disease epidemics are common in developing nations especially in Sub Saharan Africa in which Human Immunodeficiency Virus / Acquired Immunodeficiency Disease Syndrome (HIV/AIDS) is the most serious of all (1). HIV is one of the world's most serious health and development challenges (2). It is a type of virus called a retrovirus which infects humans when it comes in contact with tissues such as those that line the vagina, anal area, mouth, eyes or through a break in the skin (3), while Acquired Immunodeficiency Syndrome (AIDS) is the advanced stage of the retroviral infection that swept through sub-Saharan Africa with venom (4-5).Globally, HIV continues to be a very serious health issue facing the world (6). About 34 million (31.4 million-35.9 million) people were living with HIV at the end of 2011 and an estimated0.8% of adults aged 15-49 years worldwide are living with the virus, although the burden of the epidemic continues to vary considerably between countries and regions (6). In Sub-Saharan Africa, roughly 25 million people were living with HIV in 2012, accounting for nearly 70 percent of the global total. The epidemic has had widespread social and economic consequences, not only in the health sector but also in education, industry and the wider economy (8-9). The epidemic has had a heavy impact on education, school attendance drops as children become sick or return home to look after affected family members (10). Moreover, Sub-Saharan Africa remains the most severely affected, with nearly 1 in every 20 adults (4.9%) living with HIV; accounting for 69% of the people living with HIV worldwide. Although, the regional prevalence of HIV infection is nearly 25 times higher in sub-Saharan Africa than in Asia, almost 5 million people are living with HIV in South, South-East and East Asia combined and sub-Saharan Africa region is the most heavily affected region follow by the Caribbean, Eastern Europe and Central Asia, where 1.0% of adults were living with HIV as of 2011 (2).Nigeria is the most populous nation in Africa with an estimated population of over 160 million people. Government reports claim that over 300,000 Nigerians die yearly of complications arising from AIDS. Nigeria has the highest HIV populations in Africa with 5.7 million infected people. It is estimated that over 200,000 people die yearly in Nigeria as a result of HIV/AIDS (11). At present, there is no cure for HIV but it is being managed with antiretroviral drugs (ARV). There is optimal combination of ARV which is known as Highly Active Antiretroviral drug (HAART) (12-13). Antiretroviral therapy is the mechanism of treating retroviral infections with drugs. The drugs do not kill the virus but they slow down the growth of the virus (6). HAART refers to the use of combinations of various antiretroviral drugs with different mechanisms of action to treat HIV.The epidemic of HIV/AIDS affects two classes of people: the paediatric and the non-paediatric individual. The non-paediatric patients are patients above 15 years of age while the paediatric patients who form the main target of this research are patients whose age is less than 15 years (14). There are four distinct stages of HIV infection which includes: the primary HIV infection stage or clinical stage 1 which involves asymptomatic and acute retroviral syndrome; clinically asymptomatic stage or clinical stage 2 which involves moderate and unexplained weight loss (
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International journal of child health and human development, 2017
(ProQuest: ... denotes formulae omitted.)IntroductionHIV/AIDS epidemic remains a global health ch... more (ProQuest: ... denotes formulae omitted.)IntroductionHIV/AIDS epidemic remains a global health challenge of unprecedented dimensions and a monumental threat to developmental progress (1). HIV/AIDS is a type of virus called a retrovirus which infects human when it comes in contact with tissues such as those that line the vagina, anal area, mouth, eyes or through a break in the skin (2), while Acquired Immunodeficiency Syndrome (AIDS) is the advanced stage of the retroviral infection that swept through sub-Saharan Africa with venom (3).This infection can cause seizures, fever, pneumonia, recurrent colds, diarrhea, dehydration and other problems that often result in extended hospital stay (4). HIV/AIDS continues to be a very serious health issue facing the world in which 34 million people were living with HIV at the end of 2011 and an estimated 0.8% of adults aged 15-49 years worldwide are living with the virus, although the burden of the epidemic continues to vary considerably between countries and regions (5, 6).In Sub-Saharan Africa, roughly 25 million people were living with HIV in 2012, accounting for nearly 70 percent of the global total of infected patients. The epidemic has both social and economic consequences, not only in the health sector but also in education, industry and the wider economy (7-8). Moreover, Sub-Saharan Africa remains most severely affected with nearly 1 in every 20 adults (4.9%) living with HIV which accounts for 69% of the people living with HIV worldwide at present.There is no cure for HIV but it is being managed with antiretroviral drugs (ARV) and Highly Active Antiretroviral drugs (HAART) which is the optimal combination of ARV (9,10). ARV does not kill the virus but slow down the growth of the virus (5, 7). Antiretroviral therapy (ART) and highly antiretroviral therapy (HAART) are the mechanisms for treating retroviral infections with drugs.The epidemic of HIV/AIDS affects two classes of people: the pediatric and the non-pediatric individuals. The non-Pediatric patients are patients above 15 years of age while the pediatric patients who form the main target of this research are patients whose age is less than 15 years (11).There are four distinct stages of HIV infection which includes: the primary HIV infection stage or clinical stage 1 which involves asymptomatic and acute retroviral syndrome ; clinically asymptomatic stage or clinical stage 2 which involves moderate and unexplained weight loss (There are different modes of transmission of this virus, one of which is mother-to-child transmission. About nine out of ten children exposed are infected with HIV during pregnancy, labour, delivery or while breastfeeding (14). Without treatment, 15-30 percent of babies born to HIV positive women are infected with the virus during pregnancy and delivery and a further 5-20 percent are also infected through breastfeeding (15). In high-income countries, preventive measures are undertaken to ensure that the transmission of HIV from Mother to Child is relatively rare and in cases where it occurs, a range of treatment options are undertaken so that the child can survive into adulthood. Blood transfusion is another route in which HIV infection can occur in medical setting (16). …
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This study identified the Social Media that were most commonly used by students of tertiary insti... more This study identified the Social Media that were most commonly used by students of tertiary institutions across south-western Nigeria. Structured questionnaires were used to collect information about the Social Media that were adopted by students of tertiary institutions in Nigeria. The results of the study showed that social media adopted were: Facebook, Twitter, Instagram, SnapChat, WhatsApp, LinkedIn, WeChat, ResearchGate, Academia and Line; the most commonly used social media included: Facebook, SnapChat, Twitter and Instagram by at least 55% of the students while ResearchGate, Line, Academia, WeChat and LinkedIn accessed only when there were notifications. The results also showed that the earliest adopted social media included: Facebook in 2007 with 1 user, Twitter in 2009 with 3 users, Instagram and WhatsApp in 2010 with 1 and 8 users respectively. The impact of social media showed that at least 67% of the students suggested it had good impacts on their productivity and functi...
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Infertility in women has been the general trend because people do not believe that men too can be... more Infertility in women has been the general trend because people do not believe that men too can be infertile, but nowadays it is has been verified that male as a role to play in infertility as well as the female. This study developed a fuzzy logic model for the prediction of risk of infertility in men. The work identified the non-invasive risk factors and their associated relationship with the risk of male infertility from medical experts; and collected relevant data from 28 males. The model using was formulated using triangular membership functions equal to the number of risk factor labels and adopted the relationship for creating 4374 IF-THEN rules. The model was simulated using Fuzzy Logic Toolbox of the MATLAB software and was validated using the 28 male records collected. The result of the model showed an accuracy of 100% owing to the capacity to map underlying rules to every data record applied. The study concluded that the model will provide effective decision-support required...
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Privacy and Security Challenges in Location Aware Computing, 2021
Currently in Nigeria, different crimes ranging from ethnic clashes, domestic violence, burglary, ... more Currently in Nigeria, different crimes ranging from ethnic clashes, domestic violence, burglary, financial fraud, kidnapping, pipe-line vandalism, and random killings by terrorist organizations, to mention a few, continue to plague the country. The conventional system of intelligence and crime record have failed to live up to the expectations as a result of limited security personnel, deficiency in effective information technology strategies, and infrastructures for gathering, storing, and analyzing data for accurate prediction, decision support, and prevention of crimes. There is presently no information system in Nigeria that provides a central database that is capable of storing the spatial distribution of various acts of terrorism based on the location where the crime is committed. This chapter presents the design of an information system that can be used by security agents for the storage and retrieval of criminal acts of terrorism in order to provide improved decision support ...
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International Journal of Big Data and Analytics in Healthcare, 2020
This study developed a classification model for monitoring the risk of sexually transmitted disea... more This study developed a classification model for monitoring the risk of sexually transmitted diseases (STDs) among females using information about non-invasive risk factors. Structured interview with physicians was done in order to identify the risk factors that are associated with the risk of STDs in Nigeria. The model was simulated using the fuzzy logic toolbox accessible in the MATLAB® R2015a Software. The results showed that nine non-invasive risk factors were associated with the risk of STDs among female patients in Nigeria. Two, three, and four triangular membership functions were appropriate for the formulation of the linguistic variables of the factors while the target risk was formulated using four triangular membership functions for the linguistic variables namely no risk, low risk, moderate risk, and high risk. The study concluded that the fuzzy logic model approach was adequate for predicting the risk of STDs based on the knowledge of the risk factors.
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International Journal of Biomedical and Clinical Engineering, 2017
This paper presents an online monitoring system for the storage and retrieval of physiological da... more This paper presents an online monitoring system for the storage and retrieval of physiological data from neonates admitted into the Neonatal intensive care units (NICU) of Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria. In order to develop this system, the requirements of the proposed system were identified and analyzed as system and user requirements independently and the requirements were designed using the Unified Modeling Language (UML) tools. The system was implemented using Web 2.0 technologies such as, the hypertext markup language (HTML), the cascading styling sheets (CSS), PHP and MySQL. With the system, storage and retrieval of information by the nurses and any authorized users will be easy.
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Handbook of Research on Healthcare Administration and Management
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Papers by Jeremiah Balogun