Browsing by Author "idowu, PETER ADEBAYO"

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    Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk
    (2015-10) idowu, PETER ADEBAYO; balogun, JEREMIAH ADEMOLA; ogunlade, oluwadare
    Cardiovascular diseases (CVD) are top killers with heart failure as one of the most leading cause of death in both developed and developing countries. In Nigeria, the inability to consistently monitor the vital signs of patients has led to the hospitalization and untimely death of many as a result of heart failure. Fuzzy logic models have found relevance in healthcare services due to their ability to measure vagueness associated with uncertainty management in intelligent systems. This study aims to develop a fuzzy logic model for monitoring heart failure risk using risk indicators assessed from patients. Following interview with expert cardiologists, the different stages of heart failure was identified alongside their respective indicators. Triangular membership functions were used to fuzzify the input and output variables while the fuzzy inference engine was developed using rules elicited from cardiologists. The model was simulated using the MATLAB® Fuzzy Logic Toolbox.
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    Mathematical Model for Information Technology Infusion for Healthcare Sector in Nigeria
    (IGI Global, 2017-10) idowu, PETER ADEBAYO; BALOGUN, JEREMIAH ADEMOLA; egejuru, ngozi chidozie
    In this article, an IT infusion model was developed for the Nigerian health sector using teaching hospitals in Nigeria. The different IT technologies used by medical practitioners were identified. Structured questionnaires were used to elicit knowledge from respondents selected from teaching hospitals located in Nigeria. The results showed that the nurses and doctors with less than 5 years working experience were common users of IT. The results for the IT infusion showed that the earliest IT component in the health sector was the personal computer since the year 1994 followed by mobile phone and search engines by the year 1996 with the projector infused by the year 2001. The infusion model for the total number of users for each IT component was formulated using polynomial functions of degree, n with respect to t – the number of years after the base year of infusion of IT device. The IT infusion model developed in this paper can be used to forecast the future growth of IT within the healthcare sectors