In this paper, we develop a machine learning based healthcare monitoring and analytics from various Internet of Medical Things (IoMT) devices for possible prediction cardiovascular risk in patients. The study uses random forest feature selection then the fuzzy logic classifier is used Cardio Vascular Disease (CVD). simulation conducted to test efficacy proposed data model over other methods. re...

This review article systematically summarizes the advancements of organic ionic fluid-based sensors toward various healthcare objects. Constructive perspectives are put forward for future development this exciting field.

Background The pursuit of equity in health and healthcare has been the key feature of health policy in India. However, despite the policy significance, the volume of literature available on this issue is scarce. Therefore, this paper is an attempt to examine the horizontal inequities in healthcare utilization, consisting of outpatient and inpatient care in 15 major states and north-eastern regi...

Background Both rising healthcare costs and the global financial crisis have fueled a search for policy tools in order to avoid unsustainable future financing of essential health benefits. The scope of essential health benefits (the range of services covered) and depth of coverage (the proportion of costs of the covered benefits that is covered publicly) are corresponding variables in determini...

This paper discusses eServices using frontier applications, which targets medical domain applications using sensor network, along with New standardized health check system introduced to Japanese nations recently. We clarify the ubiquitous aspects of this application, and address challenges for ubiquitous innovation. We also describe the experience of introducing and operating the system with a ...

Healthcare professionals, working in hospitals experience a high level of mobility due to their need for accessing patients’ clinical records, medical devices distributed throughout the premises, and colleagues with whom they collaborate. In this paper, we present how autonomous agents provide capabilities of intelligence and proactivity to healthcare environments furnished with ubiquitous comp...

Medical staff work in collaborative environments and require information regarding workmates, patients and resources as well as data related to the completion of ongoing tasks. Healthcare systems provide a large quantity of information and current applications usually involve the simultaneous use of many different devices. A system might monitor several patients, provide alerts and warnings as ...