Breast cancer poses serious threat to the lives of people and it is the second leading cause of death in women today and the most common cancer in women in developing countries in Nigeria where there are no services in place to aid the early detection of breast cancer in Nigerian women. A number of studies have been undertaken in order to understand the prediction of breast cancer risks using data mining techniques. Hence, this study is focused at using two data mining techniques to predict breast cancer risks in Nigerian patients using the naïve bayes' and the J48 decision trees algorithms. The performance of both classification techniques was evaluated in order to determine the most efficient and effective model. The J48 decision trees showed a higher accuracy with lower error rates compared to that of the naïve bayes' method while the evaluation criteria proved the J48 decision trees to be a more effective and efficient classification techniques for the prediction of breast cancer risks among patients of the study location.

The number of missed appointments in healthcare institutions in Nigeria caused problems, hence the need for integrated healthcare system to intervene and provide seamless care for patients. Appointment scheduling system lies at the intersection of providing efficiency and timely access to health services. This research presents an online National Health Insurance Scheme (NHIS) Outpatient Medical Appointment Booking System where NHIS patients can access and view any available personnel or doctor schedule in order to book an appointment with the corresponding time as specified by the available doctor. The system was developed using PhP, macromedia dreamweaver, apache and MYSQL. This is to ensure that the application is robust, cheap and is able to run on different platforms. The system provides the platform to facilitate the booking and management of patients' appointment bookings. Patients can also view their appointment reports. It also provides the healthcare workers an easy access to manage patients' appointments and to generate relevant reports.

The collection, management and dissemination of road traffic accident (RTA) related events has posed a serious problem to Nigerian road safety officers and all stakeholders alike. This is especially true because of the absence of a central repository from which all accident related information can be stored and managed. Where available, these information are available in paper based form and this poses a bottleneck in updating the available information. In this study, a Web based Road Traffic Accident Monitoring System (RTAMS) was developed for Nigerian.The Road Traffic Accident Monitoring System (RTAMS) was developed using Adobe Dreamweaver and Notepad++ as the Integrated Development Environments, HTML, CSS and JavaScript were used for the frontend, PHP was used as the scripting language, and MySQL served as the database server. Most of the languages and tools used were open source which ensured that the application would be robust, reusable, cheap and highly scalable.The result of the developed system shows that road safety officers, users, policy makers and all other stakeholders can be able to register, login, submit reports and run queries on information that has been previously entered into the system such as the accidents that occurred on a particular route or the accident in which an identified victim was involved. Policy makers can run these queries in order to take appropriate steps in minimizing road traffic accident occurrences.In conclusion, this system will help create a paperless alternative to the present method of RTA information and thus make information dissemination quicker and also improve first aid response to accident occurrences.

Hepatitis B is an infection of the liver by the hepatitis B virus. According to Nigerian treatment guidelines, it is estimated that about 23 million people in Nigeria are currently affected with the disease. It is a key worldwide health problem. This paper is necessitated with the need to develop a fuzzy logic-based model for proper diagnosis of the virus hepatitis B using blood tests. An extensive interview was conducted with a licenced medical personnel at the federal polytechnic Ile Oluji medical centre located at Ondo state, Nigeria. A fuzzy logic-based system is untaken which is used to simulate the diagnosis of hepatitis B in humans using 3turple record which are HBsAg (Hepatitis B surface antigen), anti-HBs or HBsAb (Hepatitis B surface antibody) and anti-HBc or HBcAb (Hepatitis B core antibody). Triangular membership function were used to fuzzify both inputs and outputs while the fuzzy inference engine was used to develop the rules using MATLAB fuzzy logic toolbox software. The model will help in proper diagnosis of the virus and steps to be taken for treatment.

Cancer has become a major source of morbidity and mortality globally. The incidence of cancer is rising as well as in Nigeria as it continues to eat deep into the nation claiming lives of both prominent and less prominent citizens of the country. This disease is increasingly taking the lives of productive citizens thereby adding to the poverty level of the nation. In this paper, we present a system which was developed for population based cancer registry in Nigeria. This system is an online system with spatial features. The online spatial cancer registry for Nigeria was developed using Adobe Dreamweaver and Notepad++ as the Integrated Development Environments, HTML, CSS and JavaScript were used for the frontend, PHP was used as the scripting language, and MySQL with google map. The software used were open source which ensured that the application would be robust, reusable, cheap and highly scalable. The result of the developed system shows that health officers, policy makers and all other authorized stakeholders would be able to register, login, and run queries on information that has been previously entered into the system. With the system, the spatial distribution of cancer in any location in Nigeria can be easily visualized and query. Policy makers and authorized users would be able to visualize and query the system in order to take appropriate steps in addressing cancer in Nigeria. In conclusion, this system will help create national database for cancer patients and be able to analyse the spatial distribution of cancer and the system is user-friendly.