Oluwagbemi, O.; Oluwagbemi, F.; Abimbola, O.

Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)

Article

Oluwagbemi, O., Oluwagbemi, F. and Abimbola, O. 2016. Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD). Informatics in Medicine Unlocked . 2, pp. 12-37. https://doi.org/10.1016/j.imu.2015.12.001

ISSN
Type	Article
Title	Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)
Authors	Oluwagbemi, O., Oluwagbemi, F. and Abimbola, O.
Abstract	Ebola Virus Disease (EVD) also known as the Ebola hemorrhagic fever is a very deadly infectious disease to humankind. Therefore, a safer and complementary method of diagnosis is to employ the use of an expert system in order to initiate a platform for pre-clinical treatments, thus acting as a precursor to comprehensive medical diagnosis and treatments. This work presents a design and implementation of informatics software and a knowledge-based expert system for the diagnosis, and provision of recommendations on the appropriate type of recommended treatment to the Ebola Virus Disease (EVD). In this research an Ebola fuzzy informatics system was developed for the purpose of diagnosing and providing useful recommendations to the management of the EVD in West Africa and other affected regions of the world. It also acts as a supplementary resource in providing medical advice to individuals in Ebola – ravaged countries. This aim was achieved through the following objectives: (i) gathering of facts through the conduct of a comprehensive continental survey to determine the knowledge and perception level of the public about factors responsible for the transmission of the Ebola Virus Disease (ii) develop an informatics software based on information collated from health institutions on basic diagnosis of the Ebola Virus Disease-related symptoms (iii) adopting and marrying the knowledge of fuzzy logic and expert systems in developing the informatics software. Necessary requirements were collated from the review of existing expert systems, consultation of journals and articles, and internet sources. Online survey was conducted to determine the level at which individuals are aware of the factors responsible for the transmission of the Ebola Virus Disease (EVD). The expert system developed, was designed to use fuzzy logic as its inference mechanism along with a set of rules. A knowledge base was created to help provide diagnosis on the Ebola Virus Disease (EVD). The Root Sum Square (RSS) was adopted as a fuzzy inference method. The degree of participation of each input parameter was shown using the triangular membership function and the defuzzification technique used is the Center of Gravity (CoG). The resulting software produced a user-friendly desktop-based, Windows-based, application and the tools used were explained in the results section in three (3) separate phases. First, a comprehensive online survey was conducted over a period of about 3–9 months. 100 Participants participated in the survey on the perception and knowledge analysis of different individuals about Ebola Virus Disease (EVD) transmission factors. 31% of the participants didn't know that there is presently no cure for Ebola. 28% believed that there is presently a cure for Ebola. 43% agreed that Ebola is both air-borne and water-borne, while 33% disagreed, 24% do not know. 23% believed that insects and mosquitoes can help in transmitting the Ebola Virus Disease (EVD), while 30% were completely ignorant. We noticed that ignorance was a major limiting factor among some participants. Second, a test was conducted among 45 people. Results from a comprehensive testing of the Ebinformatics software by allowing users to operate and use the software, revealed that 60% of them were satisfied, while 16% were not satisfied with the software, while 24% were indifferent. 69% of the users were in agreement that Ebinformatics was supportive, 20% disagreed, while 11% were indifferent. 67% found the software easy to use, 13% disagreed, while 20% were indifferent. Third, the output of the software, showing the various diagnosis and recommendations interfaces were presented. Recommendations were also given with respect to how the system can be extended, and further improved upon.
Keywords	Ebola; Informatics; Fuzzy; Diagnosis; Recommender
Sustainable Development Goals	3 Good health and well-being
Middlesex University Theme	Health & Wellbeing
Publisher	Elsevier
Journal	Informatics in Medicine Unlocked
Electronic	2352-9148
Publication dates
Online	21 Feb 2016
Print	20 Apr 2016
Publication process dates
Submitted	19 Jun 2015
Accepted	11 Dec 2015
Deposited	19 Apr 2024
Output status	Published
Publisher's version	1-s2.0-S2352914816000034-main.pdf License CC BY-NC-ND 4.0 File Access Level Open
Copyright Statement	Copyright © 2016 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.imu.2015.12.001
Scopus EID	2-s2.0-85010408534
Related Output
Is supplemented by	https://www.sciencedirect.com/science/article/pii/S2352914816000034#s0165
Has metadata	http://www.scopus.com/inward/record.url?eid=2-s2.0-85010408534&partnerID=MN8TOARS
Language	English

Permalink -

https://repository.mdx.ac.uk/item/v2205

Log in to edit

Download files

Publisher's version

	1-s2.0-S2352914816000034-main.pdf
License: CC BY-NC-ND 4.0
File access level: Open

35
total views
16
total downloads
2
views this month
2
downloads this month

Export as

Related outputs

NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom

Oluwagbemi, O., Barretto, S. and Isafiade, O. 2024. NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom. Hornos, M., Slapničar, G. and Yu, J. (ed.) 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 Slovenia IOS Press. pp. 68-77 https://doi.org/10.3233/AISE240016

An in-silico analysis of OGT gene association with diabetes mellitus

Ayodele, O., Udosen, B., Oluwagbemi, O., Oladipo, E., Omotuyi, I., Isewon, I., Nash, O., Soremekun, O. and Fatumo, F. 2024. An in-silico analysis of OGT gene association with diabetes mellitus. BMC Research Notes. 17. https://doi.org/10.1186/s13104-024-06744-5

Interactive machine learning framework for predicting non-performing bank loans

Azeta, A., Nwaocha, V., Shofadekan, S., Tjiraso, S. and Oluwagbemi, O. 2023. Interactive machine learning framework for predicting non-performing bank loans. 2nd International Conference on Information Systems and Emerging Technologies. Namibia University of Science and Technology 17 - 19 Oct 2023 SSRN. https://doi.org/10.2139/ssrn.4647744

Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10)

Dada, E., Oyewola, D., Joseph, S., Emebo, O. and Oluwagbemi, O. 2023. Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10). Applied Computational Intelligence and Soft Computing. 2023. https://doi.org/10.1155/2023/2457898

Towards resolving challenges associated with climate change modelling in Africa

Oluwagbemi, O., Hamutoko, J.T., Fotso-Nguemo, T.C., Lokonon, B.O.K., Emebo, O. and Kirsten, K.L. 2022. Towards resolving challenges associated with climate change modelling in Africa. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147107

Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease

Mayanja, R., Kintu, C., Diabate, O., Soremekun, O., Oluwagbemi, O., Wele, M., Kalyesubula, R., Jjingo, D., Chikowore, T. and Fatumo, S. 2022. Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease. Genes. 13 (8). https://doi.org/10.3390/genes13081460

Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates

Oluwagbemi, O., Oladipo, E.K., Kolawole, O.M., Oloke, J.K., Adelusi, T.I., Irewolede, B.A., Dairo, E.O, Ayeni, A.E., Kolapo, K.T., Akindiya, O.E., Oluwasegun, J.A., Oluwadara, B.F. and Fatumo, S. 2022. Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates. Computation. 10 (7). https://doi.org/10.3390/computation10070117

Ensemble machine learning for Monkeypox transmission time series forecasting

Dada, E.G., Oyewola, D.O., Joseph, S.B., Emebo, O. and Oluwagbemi, O. 2022. Ensemble machine learning for Monkeypox transmission time series forecasting. Applied Sciences. 12 (23). https://doi.org/10.3390/app122312128

Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications

Oyewola, D., Dada, E., Omotehinwa, T., Emebo, O. and Oluwagbemi, O. 2022. Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications. Applied Sciences. 12 (19). https://doi.org/10.3390/app121910166

Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains

Oluwagbemi, O., Oladipo, E., Dairo, E., Ayeni, A., Irewolede, B., Jimah, E., Oyewole, M., Olawale, B., Adegoke, H. and Ogunleye, A. 2022. Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains. Informatics in Medicine Unlocked . 28. https://doi.org/10.1016/j.imu.2022.100845

Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules

Oyewola, D.O., Dada, E.G., Emebo, O. and Oluwagbemi, O. 2022. Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147228

Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective

Omoruyi, O., Dakora, E.A. and Oluwagbemi, O. 2022. Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective. Journal of Transport and Supply Chain. 16. https://doi.org/10.4102/jtscm.v16i0.739

Resolving challenges associated with climate chance modelling in Africa

Oluwagbemi, O. 2020. Resolving challenges associated with climate chance modelling in Africa. Virtual DAAD ClimapAfrica Conference 2020. Virtual 29 - 30 Oct 2020

Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses

Asogbon, M.G., Samuel, O.W., Geng, Y., Oluwagbemi, O., Ning, J., Chen, S., Ganesh, N., Feng, P. and Li, G. 2020. Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses. Computer Methods and Programs in Biomedicine. 184. https://doi.org/10.1016/j.cmpb.2019.105278

MAFODKM: Mobile application framework for the management of omics data and knowledge mining

Oluwagbemi, O., Adewumi, Misra, S. and Leon, M. 2020. MAFODKM: Mobile application framework for the management of omics data and knowledge mining. Journal of Physics: Conference Series. 1566 (1). https://doi.org/10.1088/1742-6596/1566/1/012132

MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa

Oluwagbemi, O., Oluwagbemi, F.E., Jatto, A. and Hui, C. 2020. MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa. PLoS ONE. 15 (11). https://doi.org/10.1371/journal.pone.0241864

First Nigerian Bioinformatics Conference (FNBC): towards a dynamic bioinformatics community

Ebenezer, T., Isewon, I., Oladipo, E., Awe, O., Adebiyi, M., Ajamma, Y., Afolabi-Balogun, N., Toye, E., Fasesan, D., Kashim, Z., Oluwagbemi, O., Oyelade, J., Ogbole, F., Benthai, B., Asilebo, I., Abraham, A., Oduwole, T., Adamolekun, E., Adetunji, C., Ahmad, U., Tijjani, A., Akinleye, C., Osamor, V., Onwuamah, C., Amoo, O., Taiwo, I., Iwalokun, B., Ekenna, C., Salako, B., Adebiyi, E., Nashiru, O. and Fatumo, S. 2019. First Nigerian Bioinformatics Conference (FNBC): towards a dynamic bioinformatics community. https://doi.org/10.31219/osf.io/hbq5c

Implementation of a TCM-based computational health informatics diagnostic tool for Sub-Saharan African students

Oluwagbemi, O. and Jatto, A. 2019. Implementation of a TCM-based computational health informatics diagnostic tool for Sub-Saharan African students. Informatics in Medicine Unlocked . 14, pp. 43-58. https://doi.org/10.1016/j.imu.2018.12.002

A comparative computational genomics of Ebola Virus Disease strains: in-silico insight for Ebola control

Oluwagbemi, O. and Awe, O. 2018. A comparative computational genomics of Ebola Virus Disease strains: in-silico insight for Ebola control. Informatics in Medicine Unlocked . 12, pp. 106 - 119. https://doi.org/10.1016/j.imu.2018.07.004

A model for memo tracking and delivery

Adewumi, S., Agbo, F., Oluwagbemi, O., Oladipo, F. and Ogbuju, E. 2018. A model for memo tracking and delivery. Confluence Journal of Pure and Applied Sciences. 2 (2), pp. 1-19.

Malavefes: A computational voice-enabled malaria fuzzy informatics software for correct dosage prescription of anti-malarial drugs

Oluwagbemi, O., Oluwagbemi, F.E. and Fagbore, O. 2018. Malavefes: A computational voice-enabled malaria fuzzy informatics software for correct dosage prescription of anti-malarial drugs. Journal of King Saud University - Computer and Information Sciences. 30 (2), pp. 185-197. https://doi.org/10.1016/j.jksuci.2017.04.003

A novel computational framework for exploring biologically-related clean and sustainable energy to meet Africa and Europe's electricity demands

Oluwagbemi, O., Oluwagbemi, F. and Afolabi, O. 2017. A novel computational framework for exploring biologically-related clean and sustainable energy to meet Africa and Europe's electricity demands. 2017 European Conference on Sustainability, Energy & the Environment. Brighton, UK 07 - 09 Jul 2017

Harnessing the potentials of fuzzy logic and voice-computing in the development of anti-malaria drug informatics software

Oluwagbemi, O., Oluwagbemi, F. and Fagbore, O. 2017. Harnessing the potentials of fuzzy logic and voice-computing in the development of anti-malaria drug informatics software. ISCB Africa ASBCB 2017 Conference on Bioinformatics. Entebbe, Uganda 10 - 12 Oct 2017

Informatics tools supporting biomedical research and healthcare outcomes in Africa: current utilization and strategies to improve access

Ogeh, D., Fatumo, S., Oluwagbemi, O. and Adenmosun, O. 2016. Informatics tools supporting biomedical research and healthcare outcomes in Africa: current utilization and strategies to improve access . European Journal of Scientific Research . 138 (2), pp. 137-151.

Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): a complementary framework for medical practitioners and patients

Oluwagbemi, O., Oluwagbemi, F. and Ughamadu, C. 2016. Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): a complementary framework for medical practitioners and patients. Informatics in Medicine Unlocked . 2, pp. 38-69. https://doi.org/10.1016/j.imu.2016.03.001

Computational and mathematical modelling: Applicability to infectious disease control in Africa

Oluwagbemi, O., Ogeh, D.N., Adewumi, A. and Fatumo, S.A. 2016. Computational and mathematical modelling: Applicability to infectious disease control in Africa. Asian Journal of Scientific Research. 9 (3), pp. 88-105. https://doi.org/10.3923/ajsr.2016.88.105

A comparative analysis of the genetic relationships between the pathogens of Ebola Hemorrhagic Fever, Marburg Virus, HIV, Hepatitis A, Hepatitis B, Hepatitis C, Hepatitis D, and Hepatitis E

Olaitan, A., Oluwagbemi, O. and Fatumo, S. 2015. A comparative analysis of the genetic relationships between the pathogens of Ebola Hemorrhagic Fever, Marburg Virus, HIV, Hepatitis A, Hepatitis B, Hepatitis C, Hepatitis D, and Hepatitis E. ISCB Africa ASBCB 2015 Conference on Bioinformatics. Dar es Salaam, Tanzania 09 - 11 Mar 2015

BengaSaVex: a computational genetic sequence extraction tool on DNA repeats of multiple gene sequences

Oluwagbemi, O., Imolorhe, S. and Agozie, V. 2014. BengaSaVex: a computational genetic sequence extraction tool on DNA repeats of multiple gene sequences. African Journal of Biotechnology . 13 (21), pp. 2103-2112. https://doi.org/10.5897/ajb12.1903

Paving the way towards a successful and fulfilling career in computational biology

Oluwagbemi, O., Adebiyi, M., Fatumo, S. and Macintyre, G. 2014. Paving the way towards a successful and fulfilling career in computational biology. PLoS Computational Biology. 10 (5). https://doi.org/10.1371/journal.pcbi.1003593

Soft skills: An important asset acquired from organizing regional student group activities

de Ridder, J., Meysman, P., Oluwagbemi, O. and Abeel, T. 2014. Soft skills: An important asset acquired from organizing regional student group activities. PLoS Computational Biology. 10 (7). https://doi.org/10.1371/journal.pcbi.1003708

Computational biology and bioinformatics in Nigeria

Fatumo, S., Adoga, M., Ojo, O., Oluwagbemi, O., Adeoye, T., Ewejobi, I., Adebiyi, M., Adebiyi, E., Bewaji, C. and Nashiru, O. 2014. Computational biology and bioinformatics in Nigeria. PLoS Computational Biology. 10 (4). https://doi.org/10.1371/journal.pcbi.1003516

A cross-platform mobile application for storing and accessing fundamental omics knowledge in bioinformatics and computational biology

Oluwagbemi, O. and Adewumi, A. 2013. A cross-platform mobile application for storing and accessing fundamental omics knowledge in bioinformatics and computational biology. 2013 Richard Tapia Celebration of Diversity in Computing Conference. Washington D.C., USA 07 - 10 Feb 2013

Insights from computational modeling and simulation towards promoting public health among African countries

Oluwagbemi, O., Adewumi, A. and Akindun, F. 2013. Insights from computational modeling and simulation towards promoting public health among African countries. International Conference on ICT for Africa 2013. Harare, Zimbabwe 20 - 23 Feb 2013

A stochastic computational model for Anopheles metapopulation dynamics: towards malaria control and insight for eradication

Oluwagbemi, O. 2013. A stochastic computational model for Anopheles metapopulation dynamics: towards malaria control and insight for eradication. LAP Lambert Academic Publishing.

ANOSPEX: a stochastic, spatially explicit model for studying anopheles metapopulation dynamics

Oluwagbemi, O., Fornadel, C.M., Adebiyi, E.F., Norris, D.E. and Rasgon, J.L. 2013. ANOSPEX: a stochastic, spatially explicit model for studying anopheles metapopulation dynamics. PLoS ONE. 8 (7). https://doi.org/10.1371/journal.pone.0068040

An analysis of scripting languages for research in applied computing

Oluwagbemi, O., Adewumi, A., Misra, S., Majekodunmi, F. and Fernandez, L. 2013. An analysis of scripting languages for research in applied computing. 2013 IEEE 16th International Conference on Computational Science and Engineering. Sydney, NSW, Australia 03 - 05 Dec 2013 IEEE. pp. 1174-1180 https://doi.org/10.1109/CSE.2013.174

AnoSpEx: a spatially explicit predictive computational model for studying Anopheles metapopulation dynamics towards malaria control

Oluwagbemi, O. 2012. AnoSpEx: a spatially explicit predictive computational model for studying Anopheles metapopulation dynamics towards malaria control. PhD thesis Covenant University Department of Computer Science

Integrating novel genetic control methods into AnoSpEx: an advanced mathematical simulation model for malaria eradication campaign

Oluwagbemi, O. 2012. Integrating novel genetic control methods into AnoSpEx: an advanced mathematical simulation model for malaria eradication campaign. 2012 World Malaria Day Symposium. Covenant University, Nigeria 25 - 25 Apr 2012

Computational predictive framework towards the control and reduction of malaria incidences in Africa

Oluwagbemi, O. and Yah, C. 2012. Computational predictive framework towards the control and reduction of malaria incidences in Africa. Egyptian Computer Science Journal. 36 (2), pp. 1-17.

Promoting public health and safety: a predictive modeling software analysis on perceived road fatality contributory factors

Oluwagbemi, O. 2012. Promoting public health and safety: a predictive modeling software analysis on perceived road fatality contributory factors. African Journal of Computing and ICTs. 5 (5), pp. 23-36.

Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources

Oluwagbemi, O. 2012. Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources. Scientific Research and Essays . 7 (7), pp. 730-739.

MACbenabim: A multi-platform mobile application for searching keyterms in computational biology and bioinformatics

Oluwagbemi, O., Adewumi, A. and Esuruoso A. 2012. MACbenabim: A multi-platform mobile application for searching keyterms in computational biology and bioinformatics. Bioinformation. 8 (16), pp. 790-791. https://doi.org/10.6026/97320630008790

AnoSpEx: a stochastic spatially-explicit computational model to simulate Anopheles Gambiae metapopulation dynamics

Oluwagbemi, O., Fornadel, C., Adebiyi, E., Norris, D. and Rasgon, J. 2011. AnoSpEx: a stochastic spatially-explicit computational model to simulate Anopheles Gambiae metapopulation dynamics. 2011 World Malaria Day Symposium. Johns Hopkins Malaria Research Institute (JHMRI), Baltimore, MA, USA 25 - 25 Apr 2011

Design and implementation of a secured census information management system

Oluwagbemi, O., Keshinro, M. and Ayo, C. 2011. Design and implementation of a secured census information management system. Egyptian Computer Science Journal. 35 (1), pp. 1-11.

Development of a secured information system to manage malaria related cases in southwestern region of Nigeria

Oluwagbemi, O., Ojutalayo, T. and Obinna, N. 2010. Development of a secured information system to manage malaria related cases in southwestern region of Nigeria. Egyptian Computer Science Journal. 34 (5), pp. 23-34.

In-silico approach to the development of a prototype clinical information system for pediatric units

Oluwagbemi, O. and Ogunmowoju, T. 2010. In-silico approach to the development of a prototype clinical information system for pediatric units. International Journal of Natural and Applied Sciences . 6 (3), pp. 254-262.

Development of a medical staff recruitment system for teaching hospitals in Nigeria

Oluwagbemi, O. and Akinsanya, A. 2010. Development of a medical staff recruitment system for teaching hospitals in Nigeria. International Journal of Natural and Applied Sciences . 6 (1), pp. 116-124.

Reducing road-traffic accidents on African roads through a computer simulation programming approach

Oluwagbemi, O. 2010. Reducing road-traffic accidents on African roads through a computer simulation programming approach. Australian Journal of Basic and Applied Sciences. 4 (8), pp. 3016-3024.

Diagnosis and recommender system for some neglected tropical diseases

Oluwagbemi, O. and Oladunni, B. 2010. Diagnosis and recommender system for some neglected tropical diseases. International Journal of Natural and Applied Sciences . 6 (2), pp. 181-188.

A knowledge-based data mining system for diagnosing malaria related cases in healthcare management

Oluwagbemi, O., Ofoezie, U. and Obinna, N. 2010. A knowledge-based data mining system for diagnosing malaria related cases in healthcare management. Egyptian Computer Science Journal. 34 (4), pp. 1-10.

A comparative analysis of different neural networks performances in the prediction of superimposed fraud in mobile phone usage

Oluwagbemi, O. 2010. A comparative analysis of different neural networks performances in the prediction of superimposed fraud in mobile phone usage. Australian Journal of Basic and Applied Sciences. 4 (8), pp. 3025-3037.

Exploring the potency of neural networks in analyzing cases of malaria occurrence in Africa

Oluwagbemi, O. and Yah, C. 2009. Exploring the potency of neural networks in analyzing cases of malaria occurrence in Africa. The European Science Foundation International Conference on Infectious Diseases: From Basic to Translational Research. Cape Town, South Africa 04 - 09 Apr 2009

An alternative malaria control strategy for malaria research in Africa: an artificial neural network approach

Oluwagbemi, O., Yah, C. and Olubajo, K. 2009. An alternative malaria control strategy for malaria research in Africa: an artificial neural network approach. 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 8th European Conference on Computational Biology (ECCB). Stockholm International Fairs (Stockholmassan), Stockholm, Sweden 27 Jun - 02 Jul 2009

Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy

Oluwagbemi, O., Adeoye, E. and Fatumo, S. 2009. Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy. Egyptian Computer Science Journal. 33 (1), pp. 55-69.

Development and implementation of a bioinformatics online distance education learning tool in Africa

Oluwagbemi, O. 2009. Development and implementation of a bioinformatics online distance education learning tool in Africa. Turkish Online Journal of Distance Education.

Comparison of ACB transporter genes of Plasmodium species: a search in elucidating new discoveries toward malaria parasite

Oluwagbemi, O., Clarence, Y. and Ezekiel, A. 2008. Comparison of ACB transporter genes of Plasmodium species: a search in elucidating new discoveries toward malaria parasite. European Molecular Biology Network (EMBnet) Conference 2008: 20th Anniversary Celebration. Leading Applications and Technologies in Bioinformatics. Martina, Franca, Italy 18 - 20 Sep 2008

Modeling the malaria parasite-mosquito midgut cell interactions

Adebiyi, E., Oluwagbemi, O. and Doumbia, S. 2008. Modeling the malaria parasite-mosquito midgut cell interactions. 6th Annual Rocky Mountain Bioinformatics Conference. Aspen/Snowmass, Colorado, United States 04 - 07 Dec 2008 International Society for Computational Biology.