Showing all 6 Publications linked to the carre project

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CARRE

Personalised patient empowerment for cardiorenal comorbidities

The CARRE project investigates information and communication technologies for empowering patients with comorbidities (multiple co-occurring medical conditions), or persons with increased risk of such conditions, especially in the case of chronic cardiac and renal disease patients.

KMi will provide the semantic "glue" linking biometric sensor data, medical ontologies and Linked Data together for patient-focused decision support and medical education.

The CARRE project...


Publications | doi 

Zhao, Y., Parvinzamir, F., Wilson, S., Wei, H., Deng, Z., Portokalidis, N., Third, A., Drosatos, G., Liu, E., Dong, F., Marozas, V., Lukoševičius, A., Kaldoudi, E. and Clapworthy, G. (2017) Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment, Journal of Visualisation, 20, 2, pp. 405-413, Springer

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Third, A., Gkotsis, G., Kaldoudi, E., Drosatos, G., Portokalidis, N., Roumeliotis, S., Pafili, K. and Domingue, J. (2016) Integrating medical scientific knowledge with the semantically Quantified Self, International Semantic Web Conference, Kobe, Japan, pp. 566-580, Springer

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Zhao, Y., (2016) Visual Analytics for Health Monitoring and Risk Management in CARRE, Workshop: IDAVis 2016: Workshop on intelligent data analytics and visualization at 10th International Conference on E-Learning and Games, Hangzhou, China

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Kaldoudi, E., Drosatos, G., Portokallidis, N. and Third, A. (2016) An Ontology based Scheme for Formal Care Plan Meta-Description, XIV Mediterranean Conference on Medical and Biological Engineering and Computing, Paphos, Cyprus

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Third, A., Kaldoudi, E., Gkotsis, G., Roumeliotis, S., , K. and Domingue, J. (2015) Capturing Scientific Knowledge on Medical Risk Factors, Workshop: 1st International Workshop on Capturing Scientific Knowledge at 8th International Conference on Knowledge Capture, Palisades, NY, USA

Publications | Visit External Site for Details Publications | doi 

Gkotsis, G., , k., Pedrinaci, C., Domingue, J. and Liakata, M. (2014) It's all in the Content: State of the art Best Answer Prediction based on Discretisation of Shallow Linguistic Features, ACM Web Science 2014 Conference, Indiana University, Bloomington, USA, pp. 9

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Knowledge Media Institute (KMi)
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WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

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Knowledge Media Institute (KMi)
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WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the project Analytics For Everyday Learning. The AFEL Project is an innovative EU funded research project with 5 partners from the UK, Germany, Spain, and Austria. Its goal is to identify the features that...

Research Assistant / Associate

Knowledge Media Institute (KMi)
£29,799 - £38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the OU ANALYSE project (http://analyse.kmi.open.ac.uk). The aim of the project is to increase the retention rate at the OU and at the same time to improve the quality of education. Internet technologies...

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