An Ontology-Based Semantic Approach for First Aid Prediction in Aviation Services Incorporating RBFNN Over a Cloud Server

Abstract

Mid-air medical emergencies can prove to be fatal if appropriate infrastructure is not established in aircrafts. The alarmingly increasing rates of heart attacks around the world pose a huge threat of life endangerment anywhere and anytime. Especially when the passengers are at high altitudes, the airline crew despite being trained may not always be prepared to deal with the worst of unexpected situations. Since such cases need to be dealt in a very prompt and appropriate manner, an arrangement has to be made to receive swift external medical help whenever required. This paper draws attention upon telemedicine in the aviation sector, and how emergencies are handled mid-air. Internet of things plays a major role in virtually connecting the ailing patient with a specialist doctor, who would in turn suggest life-saving measures through remote diagnosis. In order to lessen the diagnosis time and speed up the