IoT-based decision support system for intelligent healthcare — applied to cardiovascular diseases

Abstract

Internet of Things (IoT) has been one of the revolutionary technologies in recent times, which has catalyzed the paradigm shift in traditional healthcare methods. Thanks to the concept of seamless data exchange between connected devices followed by efficient data analytics, IoT-based eHealth strives to cater intelligent and personalized healthcare services. This paper is focused on the aspects of IoT and decision support systems to proffer preventive and intelligent healthcare. The objective of this work is two-fold — to design the components of an IoT-healthcare platform and decision support system, satisfying the goals of an efficient technology-led healthcare system, and to illustrate the same by applying to cardiovascular diseases and ascertain the risk groups from a sample set of people. Especially, to determine the risk groups from a sample set of people in terms of cardiovascular disease, this system has been used. The risk groups were identified based on their possibility of having a cardiovascular disease. Such a system offers a common platform for all the stakeholders of healthcare and can be extended in other domains too as it works efficiently in predicting diseases, using the decision support system.