A Survey on Cloud and Internet of Things Based Healthcare Diagnosis

At present, the Internet of Things and healthcare related services are provided using online applications. The applications developed are further used in building strong healthcare service that is made available to everyone in critical and prior circumstances. These applications use IoT devices to collect real-time data regarding any person's condition and also refer to the already existing records for further reference. The data collected are stored in a huge database, which contains the details from each healthcare environment. Cloud computing technology is used to secure and store the health relevant data. Cloud and IoT technology are combined to provide a full-fledged detail about healthcare issues and secure them. Recently, the healthcare related diagnosis are also added in order to bring in a more developed healthcare and user friendly application. The diagnosis procedure is used to predict the severity of any disease and store it in the database. This paper, surveys on the classification technique in Cloud and IoT based health monitoring and diagnosis approach from the healthcare data acquired from any repository or by using sensors that collect real-time data and store them in tables for reference to the severity of the disease by any professional.