Health care domain have attracted considerable amount of research fields. One of the field that has a drastic focus on health care domain is data mining. Mainly health care system focuses on some data mining theories like classification, clustering etc.
Health monitoring devices let users monitor their health and habitual parameters. A health avatar can act as the electronic equivalent of a human to provide a dynamic life profile corresponding to the owner's physical status, living conditions, and habits.A plethora of newly available personal devices, mainly wearables, lets users measure their activities and health status and could easily be employed to provide health parameter monitoring and living condition evaluations, thus reducing users' visits to practitioners or health experts. At present, however, tools and applications for these devices are each linked to a particular solution. Realizing comprehensive health monitoring and assessment requires a single framework over which personal health status and living conditions can be tracked while maintaining users' privacy.We present the idea of a health avatar, the electronic representation of a human that reports its owner's physical status, living conditions, and habits as they're recorded through personal and wearable devices and sensors. This information is then processed and reasoned about via an ontological framework for personal health and wellbeing management. By adopting the successful model of online social network interaction, our platform provides a flexible communication medium that integrates and connects practitioners, patients, and virtual entities such as decisionsupport systems into a community for improving the quality of personal health. Our approach deploys state-of-the-art techniques for seamlessly discovering and collecting health and lifelog data (HLD) using a wide range of wearable devices, Wearable Computing
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This paper describes the interim evaluation analysis undertaken by two of five inCASA project pilot sites. inCASA is an EU co-funded pilot project which aims at developing an integrated health and social service model supported by innovative technology solutions to enable an ageing and frail population to stay well in their own homes for longer. The aim of the UK pilot located in Chorleywood, West Hertfordshire has been to bring together primary and social care in order to improve referral, sharing of information and identification of those patients in need. Similarly, the main objective of the Konstantopouleio General Hospital of Nea Ionia Greek pilot in the inCASA project is to develop an integrated healthcare service for patients suffering from Heart Failure.
This paper describes an ICT platform aiming to support the well-being of frail elderly people and facilitate them to stay longer and more healthily in their own home. Its principal characteristic is the combination of Telehealth and Telecare monitoring in a unified way, allowing the simultaneous health, mental and psychological status evaluation of an elderly person. For this purpose the platform enables the deployment of services to follow-up the patient’s health status based on a set of monitored parameters per disease, to track the suitability of the in-house environmental conditions and finally to profile user’s habits and diagnose deviations from their usual activities.The inCASA project implements such platform based on a Service-Oriented Architecture which relies on the Hydra Middleware. Hydra is receiving measurements from proprietary Telehealth and Telecare gateways deployed in the home premises and transforms them into Health Level 7 (HL7) compliant data. Platform developers may add business logic and create healthcare applications on top of the Middleware without getting involved with low-level communication issues with the various types of sensor devices and their protocols. Another core module of the architecture is the Smart Personal Platform (SPP) in which the patient data are forwarded from Hydra, stored and analyzed. SPP includes a reasoning mechanism responsible for the comparison of retrieved measurements with specified thresholds per monitored parameter and per patient. Furthermore, this mechanism detects deviations from the stored habits profile of each user which is dynamically built based on history data. Either in the case of thresholds exceeding or in the case of habits profile deviation, alerts are generated and classified based on their severity. Both data and alerts are available in the back-end user interface of the platform, the so-called Consumer Application interface which is the single point of access for the inCASA operators. In this Web Application, there is an integrated view of Telecare (e.g. movement, habits) and Telehealth (e.g. body weight, blood pressure) data offering also graphical and statistical facilities. Forwarded from the SPP alerts are presented real-time on screen by the Consumer Applications and, if this is the case, other relevant actions take place too, like SMS sending to relatives, doctors and/or operators.inCASA is an EU co-funded pilot project with a combination of industry and academic partners and has already deployed its pre-mature solution to five European pilots (hospitals or social services). The primary measurable indicators during the pilots include the overall elderly patient satisfaction with the provided services, enhancement of their self-reliance and living conditions and the added value of this service model (i.e. reduced hospitalization of patients and/or response times to emergencies). First results are already collected and satisfy the doctors/operators aim for Telehealth-Telecare integration. One of their main targets that can be supported...
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