Decision Support System Using Decision Tree and Neural Networks

Decision making in a complex and dynamically changing environment of the present day demands a new techniques of computational intelligence for building equally an adaptive, hybrid intelligent decision support system. In this paper, a Decision Tree-Neuro Based model was developed to handle loan granting decision support system and clinical decision support system(Eye Disease Diagnosis) which are two important decision problems that requires delicate care. The system uses an integration of Decision Tree and Artificial Neural Networks with a hybrid of Decision Tree algorithm and Multilayer Feed-forward Neural Network with backpropagation learning algorithm to build up the proposed model. Different representative cases of loan applications and eye disease diagnosis were considered based on the guidelines of different banks in Nigeria and according to patient complaint, symptoms and physical eye examinations to validate the model. Object-Oriented Analysis and Design (OO-AD) methodology was used in the development of the system, and an object-oriented programming language was used with a MATLAB engine to implement the models and classes designed in the system. The system developed, gives 88% success rate and eliminate the opacity of an ordinary neural networks system. Keywords: Decision Tree-Neuro Based Model, Backpropagation Learning Algorithm, Object-Oriented Analysis and Design, MATLAB Embedded Engine, Loan Granting, Eye Diseases Diagnosis

Dietary and physical activity habits of All Saints University College of Medicine Students, St Vincent and the Grenadines

Background: The purpose of this research was to assess the dietary and physical activity habits of All Saints University College of Medicine students to determine if they were meeting the Saint Vincent and the Grenadines government’s dietary guidelines and to ascertain the prevalence of overweight and obesity among the students.Methods: Data were collected from the participants using a survey concerned with demographics, and self-assessment on dietary and physical activity habits. Descriptive statistics was used to report and analyse the data.Results: Study subjects consisted of 76 students. Eighty three percent of them were between the ages of 16 and 25 years. Sixty–one percent were female and 39% were male. The majority of the student respondents (76%) were aware of the importance of eating healthy and being physically active each day, and 50-66% of the respondents engaged in and enjoyed physical activity, achieved the recommended daily amount of vegetable intake, were at a normal body mass index (18.5-24.9 kg/m2) and reported satisfaction with their weight. However, majority (80%) of the respondents consumed fast food; about a third of them did not consume fruits nor exercise regularly, reporting lack of time, interest and self-discipline as major reasons.Conclusions: The results indicate that the majority of All Saints University Medical College students had high level of knowledge of overweight and obesity and were involved in some healthy behaviours that helped them achieve normal BMI. However, the poor nutritional and physical activity habits of many of the students could benefit from intervention programs to moderate the tendency for overweight and obesity in the student population

Effects of Household Waste Generation, Disposal and Management on Farmers’ Health in Owerri Metropolis of IMO State, Nigeria

The study investigated the effects of household waste generation, disposal and management on farmers' health in Owerri metropolis. It specifically ascertained the socio-economic characteristics of the farmers, identified the types and sources of waste in the study area, examined the waste disposal and management methods in the study area examined the effects of inappropriate waste disposal and ascertained the appropriate waste disposal methods used in the study area. A multi stage sampling technique was used to select one hundred and eight farmers from the three Local Government Area in Owerri metropolis. Data were collected using a validated questionnaire and were analyzed using descriptive statistics tool such as mean, frequency, percentage, and mean scores. Results show that waste is majorly generated from markets and residential homes. Waste disposal methods were mainly burning, landfills and open dumping. Its effects includes destroys the beauty of the environment, blocks gutters and drainage system, pollutes the environment among others. Subsequently, appropriate waste disposal methods in the study area includes burning of waste (29.17%), placing of bins at appropriate places (16.07%). The study recommends amongst others that waste management environmental agency should make waste dumps or receptacles accessible to residents, public campaigns should be embarked upon to educate the citizens on ills of dirty environment