Developing Prototype Of Case-Based Reasoning System For Personalized Medical Care For Patients With Diabetes Mellitus Type 2

Abstract

Personalized medical care is an individualized approach to the management and treatment of diseases in the health care system. It follows the personalized medicine concept and has received a great deal of recent attention from the governing, scientific and health care diseases communities worldwide. Diabetes mellitus type 2(T2DM) is one of the chronic non communicable diseases that threaten different individuals and need a high cost of expenditure if not managed effectively leads to other health complications. The main objective of this study is to develop a Case-based reasoning system for personalized medical care for patients with T2DM. Personalized medicine is speedily having an impact on how patients are managed and treated; how health care delivery is channelling its resources to maximize patient benefits. Management of T2DM consists of major lifestyle (dietary pattern), drug therapy (administration) and physical exercise. To alleviate the disease complications, the development case-based reasoning system that can be used to manage and treat patients with T2DM through personalized medical care is essential. Additionally, curbing the complication of T2DM can be facilitated with a Case-based reasoning system for personalized medical care through a developed case base. To develop this prototype, design science within knowledge engineering method and data gathering tools such as semi structured interviews and document analysis were followed. The domain experts were selected by using the purposive sampling technique. The knowledge acquired from domain experts and through document analysis was modelled by using the hierarchical conceptual modelling method, and cases were generated and represented with the feature-value format. The prototype was implemented by using JCOLIBRI software and scored an F-Measure of 84% and users acceptance of 86.2% and 82% respectively. The application of a case-based reasoning system in personalized medical care is very important to improve the quality of service delivery to address each patient’s case through unique characteristics/attributes such as age, gender, blood pressure, fast blood sugar and others. Even if the porotype registered promising results, future research work is expected from different scholars in personalized medicine for more improvement.