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 managing and treating diseases in the healthcare system. It follows the personalized medicine concept and has recently received much attention from the governing, scientific and healthcare diseases communities worldwide. Personalized medicine is speedily impacting how patients are managed and treated and also how healthcare delivery is channelling its resources to maximize patient benefits. The management of Diabetes Mellitus Type 2 consists of major lifestyle (dietary pattern), drug administration and physical exercise. The main objective of this study was to develop a Case-based reasoning system for personalized medical care for patients with Diabetes Mellitus Type 2. Design science within knowledge engineering method and data gathering tools such as semi-structured interviews and document analysis were employed to develop a prototype system. 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 user acceptance of 86.2% and 82%, respectively. Applying 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.