Jumoke Soyemi

Work place: Federal Polytechnic/Department of Computer Science, Ilaro, Nigeria

E-mail: jumoke.soyemi@federalpolyilaro.edu.ng

Website:

Research Interests: Medical Informatics, Medicine & Healthcare, Healthcare

Biography

Jumoke Soyemi, had her BSc (Computer Science) at Obafemi Awolowo University, Ile-Ife, MSc (Computer Science) at University of Ibadan and presently running her PhD (Computer Science) at Covenant University, Ota, Nigeria.
She is an Academic at the Federal Polytechnic, Ilaro, Ogun State Nigeria and currently the head of the department of Computer Science of the same institution. She has served in several capacities and worked in different committees of the institution. She has a number of publications in learned journals including “Towards e-health deployment in Nigeria: The open issues”, Springer International Publishing Switzerland, ICSIIT 2015, CCIS 516, pp. 588–599, 2015. “Bioinformatics, Healthcare informatics and Analytics: An Imperative for Improved Healthcare”, International Journal of Applied Information System, Foundation of Computer Science, 8(5): 1-6, New York, USA and others including conference papers to her credit. She has also won two grants for project implementation from Tertiary and Education Trust Fund (TETFUND) 2015 Intervention, including two travel fellowship awards for training and workshop attendance in South Africa and Tanzania, 2015.
Mrs Soyemi is a member of Computer Professionals of Nigeria (CPN), Nigeria Computer Society (NCS), Fellow in the Institute of Policy Management and Development (FIPMD) as well as student member of International Society for Computational Biology/African Society for Bioinformatics and Computational Biology (MISCB/ASBCB). She is also an Assessor in the Institute of Chartered Accountant of Nigeria (ICAN).

Author Articles
A Mobile-based Neuro-fuzzy System for Diagnosing and Treating Cardiovascular Diseases

By Folasade O. Isinkaye Jumoke Soyemi Olayinka P. Oluwafemi

DOI: https://doi.org/10.5815/ijieeb.2017.06.03, Pub. Date: 8 Nov. 2017

In our present environment, heart diseases are very rampart and they describe the various types of diseases that affect the heart. They account for the leading cause of death word-wide especially, in Africa. It is therefore very important for individuals to have adequate knowledge about their heart health in order to avoid the risk of decreased life expectancy. The high mortality rate of heart (cardiovascular) diseases is attributed to the unequal ratio of patients to scarcity of medical experts who can provide medical care, also patients are not always warn to waiting long hours on queue in the hospital, especially in cases of emergency. This paper designed and implemented a Mobile Neuro-fuzzy System that uses the combination of the intelligence technique of Artificial Neural Networks (ANN) and the human-like reasoning style of Fuzzy Logic to diagnose and suggest possible treatments for cardiovascular diseases through interactivity with user. It employs programs like MySQL, PHP, JAVA (Android) and XML (Android Studio) while tools like XAMPP, PhpStorm and Android O/S were used to integrate these techniques together. The system, proved to be of enormous advantage in diagnosing heart diseases, as it diagnoses and learns about each user per time, to provide adequate and appropriate results and also makes reliable predictions to users.

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