V OLUME 3, I SSUE 1 Predictive Model for Likelihood of Survival of Sickle-Cell Anaemia (SCA) among Peadiatric Patients using Fuzzy Logic Adebayo Peter Idowu 1 , Theophilus Adesola Aladekomo 2 , Kehinde Oladipo Williams 3 and Jeremiah Ademola Balogun 3 1 Department of Computer Science & Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria, 2 Department of Peadiatric and Child Health, Obafemi Awolowo University, Ile-Ife, Nigeria, 3 Department of Physical and Computer Sciences, College of Natural and Applied Sciences, McPherson University Ajebo, Ogun State, Nigeria. paidowu1@gmail.com; aladekomotheo@yahoo.com; kehindewilliams@yahoo.com; jeremiahbalogun@gmail.com ABSTRACT A fuzzy logic-based system has been applied to a number of cases in medicine especially in the area of the development of diagnostic systems and has been discovered to produce accurate results. In this paper, a fuzzy logic-based system is presented which is used to simulate a prediction model for determining the likelihood of Sickle Cell Anemia (SCA) in individuals given a 3-tuple record containing the level of fetal haemoglobin, genotype and the degree of Anemia. Knowledge was elicited from an expert at Federal Medical Centre, Owo, Ondo State, Nigeria and was used in developing the rule-base and simulated the prediction model using the MATLAB software. The results of the fuzzification and defuzzification of variables, inference engine definition and model testing was also presented and showed that the fuzzy logic based model will be very useful in the prediction of the likelihood of Sickle Cell Anemia (SCA) among Nigerian patients. Keywords: fuzzy logic, prediction model, sickle-cell disease, likelihood 1 Introduction According to Obeagu et al (2014) sickle cell disease (SCD) is a hereditary blood disorder which can be easily identified as an abnormal, sickle-shaped form of the red blood cells. A complication called sickling arises due to the cells’ flexibility caused by the sickle shape and reduces the lifespan of an average male and female to 42 and 48 years respectively. If this sickling condition is well-managed, there are cases where such a person may live up to 8 decades. The disease is also discovered to be very rampant among tropical and sub-tropical sub-Saharan regions where there used to be malaria (Wellems et al, 2003). SCA may lead to various acute and chronic complications, several of which have a high mortality rate (Malowany et al, 2012). People with sickle cell disease may also develop anemia including some jaundice and body pains. Three quarters of sickle-cell cases occur in Africa. A recent WHO report estimated that around 2% of newborns in Nigeria were affected by sickle cell anaemia, giving a total of 150,000 affected children born every year in Nigeria alone. The carrier frequency ranges between 10% and 40% across equatorial Africa, decreasing to 12% on the North-African coast and <1% in South Africa (Obeagu et al, 2014). Sickle Cell is a major cause of morbidity and mortality in Africa where there is no readily effective treatment (Omoti, 2005).Patients with sickle cell disease have varying amounts of DOI : 10.14738/tnc.31.842 Publication Date: 18 nd February 2015 URL: http://dx.doi.org/10.14738/tnc.31.842