Classification of X-ray Images Insight for Finding Infection of Coronavirus Disease

Abstract

Nano-assistive technology is indispensable scientific research in medical sciences, which provides the greater opportunities for macro-ailments analysis in COVID-19 insights. Recent research of healthcare uses the advances of Internet of Things (IoT) sensors for diagnosing or sensing the ailments. However, IoT sensors are non-invasive sensors, i.e., they are the potential to sense the outer surface of ailments like skin issues, temperature, blood pressure etc.  Nanotechnology perceives the invasive sensing, so that the macro-molecule size of nano-sensors is capable of sensing internal cells or organ structure, bio-logical sequences for analysing the status of the antibody system for the pandemic situation of COVID-19 patients. Cognitive computing enables machine intelligence in healthcare by analysis of ailments patterns from the nano-sensors. The significance of this research is to discover the cognitive knowledge representation so that it prompts for accurate intelligent healthcare results on the end-user interface

Keywords- COVID-19, Nano-assistive technology, IoT, non-invasive sensors, cognitive knowledge