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Selected Publications:

S. Colantonio, M. Esposito, M. Martinelli, G. De Pietro, O. Salvetti, “”A Knowledge Editing Service for Multisource Data Management in Remote Health Monitoring””, IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 6, pp. 1096-1104, ISSN 1089-7771, DOI 10.1109/TITB.2012.2215622, 2012.

E. Cesario, M. Esposito, “”A Knowledge-based Method for Verifying the Reliability of Clinical DSSs””, in Proceedings of Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS 2012), pp. 489-495, ISBN 978-1-4673-5152-2, DOI 10.1109/SITIS.2012.78, Naples, Italy, 25-29 Nov 2012.

E. Cesario, M. Esposito, G. De Pietro, D. Talia, “”Verification of Clinical Guidelines Encoded Into Knowledge-Based DSSs””, in Proceedings of the 6th IEEE International Conference on Intelligent Systems: Methodology, Models, Applications in Emerging Technologies (IS’12), pp. 264-269, ISBN 978-1-4673-2276-8, DOI 10.1109/IS.2012.6335146, Sofia, Bulgaria, 6-8 Sept 2012.

E. Cesario, M. Esposito, G. De Pietro, D. Talia, “”A Consistency Checker for verifying the knowledge encoded into clinical DSSs”” in Proceedings of 25th International Symposium on Computer-Based Medical Systems (CBMS 2012), pp. 1-6, ISBN 978-1-4673-2049-8, DOI 10.1109/CBMS.2012.6266387, Rome, Italy, 20-22 Jun. 2012.

S. Colantonio, G. De Pietro, M. Esposito, A. Machì, M. Martinelli, O. Salvetti, “”Decision Support for the Remote Management of Chronic Patients””, in Wireless Mobile Communication and Healthcare (K. S. Nikita, J. C. Lin, D. I. Fotiadis, M.T. Arredondo Waldmeyer, eds.), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 83, pp. 38-45, Springer Berlin Heidelberg, ISBN 978-3-642-29733-5, DOI 10.1007/978-3-642-29734-2_6, 2012.

S. Colantonio, G. De Pietro, M. Esposito, A. Machì, M. Martinelli, O. Salvetti, “”Knowledge-based Decision Support for the Management of Chronic Patients””, in Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, (KEOD 2011), pp. 220-225, ISBN 978-989-8425-80-5, Paris, France, 26-29 Oct. 2011.

CHRONIOUS

CHRONIOUS:  An Open, Ubiquitous and Adaptive Chronic Disease Management Platform for COPD and Renal Insufficiency (FP7-ICT-2007–1– 216461 CHRONIOUS)

START DATE:  February 2008
END DATE: May 2012

Site: http://www.chronious.eu/

CHRONIOUS was a highly innovative ICT research project, lasted for 52 months, and partially funded by the European Commission (under the 7th Framework Programme) with a budget of about 10 million euros. The Consortium involved in the project gathered expertise and skills at a Pan-European level, including partners from different EU member states, namely Italy, Spain, Germany, Portugal, United Kingdom, Austria, Czech Republic, Greece. Its primary goal was to define a European framework for a health-monitoring platform addressing people with chronic disease. This was achieved by realizing a smart wearable platform, able to process multi-parametric sensors data, for monitoring people suffering from Chronic Obstructive Pulmonary Disease (COPD), Chronic Kidney Disease (CKD) and Renal Insufficiency. The system was able to constantly monitor patients’ health condition through sensors integrated into a T-shirt or scattered in the living environment and through ad-hoc questionnaires on symptoms and lifestyle displayed on a smart device (touchscreen PC or smartphone). The system was able to analyze these collected data, by employing a multi-parametric expert system based on intelligent algorithms and complex techniques, and generate alerts in case of data pertaining the health status and lifestyle lay outside the well-established patterns. A dedicated and secure web platform was developed to notify healthcare providers with collected data and alarms. Finally, an ontological information retrieval system was delivered for enabling the consultation of up-to-date clinical information. The CHRONIOUS platform was validated through clinical trials in several medical centers and home environments around Europe with 100 patients in two stages. The results of the utilization of the system were very encouraging. The CHRONIOUS system was proven to be a well-validated real-time patient monitoring and supervision platform, representing a useful tool for the clinician and the patient able to contribute to a more effective management of chronic diseases. The CHRONIOUS platform can be considered a successful model for the future generations of “”chronic disease management systems”” and can facilitate the realization of sophisticated monitoring tools.

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