Exploring Web Objects enabled Data-Driven Microservices for E-Health Service Provision in IoT Environment

Abstract

Internet of Things (IoT) has the most significance in the intelligent healthcare service provision because of the wealth of data from disparate sources. By using the applications and tools of the IoT and web of data we can collect large of data and provide better care and monitoring services to the patients while reducing the cost and time. Depressive disorder (DD) is a common disease worldwide and it is estimated by the World Health Organization that in 2020, depression will be the largest medical burden on the society and government expenditures. To reduce the depression period is the important aspect for the practitioner psychiatric by using cognitive behavior therapy (CBT). To reduce cost and time we proposed an IoT based CBT system based on Web of Objects (WoO) data-driven microservices. We used data-driven microservices for the depressive person data accumulation, representation and assistance services. We also used semantically interoperable data representation microservices for IoT based DD symptoms monitoring. Our proposed model and use case scenario significance show that this approach is useful for the DD assistance and care.