Design and Implementation of Health Care Tool that Provides Suggestions and Doctors Appointment

Abstract: In this paper we propose a computational m odel b a s e d on OWL/SWRL enabled ontologies, which can be used in the development of an automated software tool which help the patients know about their health conditions via patient specific reminders, advice and action items which helps in preventing the development of specific disease like diabetic foot care and Alzheimer’s in patients. This tool focus at: (i) patients who would like to manage their illness efficiently by being informed and alerted to the significance of any change(s) they detect in their health condition and (ii) healthcare professionals who can disseminate their knowledge to patients more effectively, and thus prevent the development of disease , which may cause the premature death of patients. The benefits of OWL/SWRL enabled ontologies in our computational model are numerous i.e. r a n g e from the power to store, manage and reason effectively upon knowledge and information related to particular disease and prevention through OWL/SWRL computations, to the feasibility of including such computations into software applications, which can be used as a set of Apps on Android devices or on personalized healthcare iClouds. Consequently in the core of our proposal are (a) the OWL ontological model and its constraints which define and store the semantics of symptoms and observations of the changes in patient health and (b) the reasoning process which uses the semantics and the power of ontological matching through SWRL.

Keywords: OWL/SWRL, Alzheimer’s, Diabetic foot, Data classification.