A fuzzy logic-based system has been applied to a number of cases in medicine especially in the ar... more 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.
Breast cancer poses serious threat to the lives of people and it is the second leading cause of d... more 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 brea...
International Journal of Research in Business and Technology, 2014
The absence of spatial representation of health data often lead to poor decisions. Therefore, thi... more The absence of spatial representation of health data often lead to poor decisions. Therefore, this paper introduces an ImDisease Surveillance System (IDSS) that can handle spatial health data using the web-based GIS capability. While ArcGIS was used to incorporate the GIS potentials; the WAMP (Window Apache MySQL and PHP) server was used to demonstrate the suitability of the system (application) to run on a local host as well as on the Internet. The health data used were randomly collected from local government areas and offices of the state ministry of health in Ekiti State as case study. Results from implementing the system showed that users were able to use the user interfaces to visualize various occurrences of immunize-able diseases; select the type of view they desired - either by local government or disease types; and graphically know the areas affected by diseases. These results - information when disseminated would assist in program planning and evaluation, and the formulation of research hypotheses for further research. We also believe that it will be useful in the deployment of health personnel and resources to address health related problems; and would also provide useful predictions.
International Journal of Research in Business and Technology, 2014
ABSTRACT Sub Saharan Africa region is synonymous with various health problems ranging from diseas... more ABSTRACT Sub Saharan Africa region is synonymous with various health problems ranging from diseases (such as malaria, measles, and tuberculosis), environmental to other public health related problems. In the region, most of the diseases and health related problems are as a result of environmental problems. Despite all the health problems, sub Saharan Africa most especially Nigeria lacks national health database. In the country, there is inadequate health care delivery system and patchy epidemiological data couple with the fact that there is no reliable method of epidemiological data collections. In order to solve these problems, this paper proposed a well organised conceptual public health data model for Nigeria, which addresses all the health problems and their causes. The proposed data model could be used to develop any health related system such as national public health database system, and disease surveillance system, which we intend to develop from this, proposed data model. The model is motivated by an interoperable disease surveillance and prediction system in Nigeria. We started with review of the existing health data models which include disease surveillance data models developed for Nigeria and Kenya which we modified and extended to develop a spatial conceptual public health data model in Nigeria. The proposed data model contributed to the existing health data models with its environmental health feature, which makes the model to be unique from other existing health data models. The model is developed using unified modelling language. We intend to make the model and health related systems that would be developed from the proposed data model open so as to allow other researchers most especially from sub Saharan Africa region and those that are interested in the region to contribute to the maintenance of the public health data model. The systems that would be developed from the proposed data model would make use of web feature services technology and allow interoperability with other health related systems. The proposed system would be able to capture, store, query, retrieve, and generate reports on any disease and the environmental problems that caused such health related problems among other things.
A fuzzy logic-based system has been applied to a number of cases in medicine especially in the ar... more 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.
Breast cancer poses serious threat to the lives of people and it is the second leading cause of d... more 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 brea...
International Journal of Research in Business and Technology, 2014
The absence of spatial representation of health data often lead to poor decisions. Therefore, thi... more The absence of spatial representation of health data often lead to poor decisions. Therefore, this paper introduces an ImDisease Surveillance System (IDSS) that can handle spatial health data using the web-based GIS capability. While ArcGIS was used to incorporate the GIS potentials; the WAMP (Window Apache MySQL and PHP) server was used to demonstrate the suitability of the system (application) to run on a local host as well as on the Internet. The health data used were randomly collected from local government areas and offices of the state ministry of health in Ekiti State as case study. Results from implementing the system showed that users were able to use the user interfaces to visualize various occurrences of immunize-able diseases; select the type of view they desired - either by local government or disease types; and graphically know the areas affected by diseases. These results - information when disseminated would assist in program planning and evaluation, and the formulation of research hypotheses for further research. We also believe that it will be useful in the deployment of health personnel and resources to address health related problems; and would also provide useful predictions.
International Journal of Research in Business and Technology, 2014
ABSTRACT Sub Saharan Africa region is synonymous with various health problems ranging from diseas... more ABSTRACT Sub Saharan Africa region is synonymous with various health problems ranging from diseases (such as malaria, measles, and tuberculosis), environmental to other public health related problems. In the region, most of the diseases and health related problems are as a result of environmental problems. Despite all the health problems, sub Saharan Africa most especially Nigeria lacks national health database. In the country, there is inadequate health care delivery system and patchy epidemiological data couple with the fact that there is no reliable method of epidemiological data collections. In order to solve these problems, this paper proposed a well organised conceptual public health data model for Nigeria, which addresses all the health problems and their causes. The proposed data model could be used to develop any health related system such as national public health database system, and disease surveillance system, which we intend to develop from this, proposed data model. The model is motivated by an interoperable disease surveillance and prediction system in Nigeria. We started with review of the existing health data models which include disease surveillance data models developed for Nigeria and Kenya which we modified and extended to develop a spatial conceptual public health data model in Nigeria. The proposed data model contributed to the existing health data models with its environmental health feature, which makes the model to be unique from other existing health data models. The model is developed using unified modelling language. We intend to make the model and health related systems that would be developed from the proposed data model open so as to allow other researchers most especially from sub Saharan Africa region and those that are interested in the region to contribute to the maintenance of the public health data model. The systems that would be developed from the proposed data model would make use of web feature services technology and allow interoperability with other health related systems. The proposed system would be able to capture, store, query, retrieve, and generate reports on any disease and the environmental problems that caused such health related problems among other things.
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