A Smart Mobile Health Application for Mauritius
This paper presents a smart health mobile application for Mauritius. One of the main functionalities of the application is a symptom checker and diagnosis tool which provides a bridge between doctors and patients. Once patients input or select their symptoms, the application proposes a list of possible diseases and relevant specialist doctors are recommended through the use of a rule-based expert system. Patients are able to directly book appointments with specialists. The mobile application uses intelligent techniques in order to create a knowledge base of diseases and their related symptoms for Mauritius. The knowledge base also includes information related to the medical specialist for each disease so that relevant doctors can be recommended to patients. The application continues to improve itself as it learns from the symptoms input by users, that is, over time, it learns which symptoms are more likely to occur together. Patients can communicate their symptoms to doctors prior to their appointments, and they can also receive notifications from doctors in case of appointment cancellation.
KeywordsArtificial intelligence Machine learning Ontology
We undertake that we have the required permission to use images/dataset in our work from suitable authority and we shall be solely responsible if any issue in future.
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