Abstract
Chronic diseases may cause major limitations in patients’ daily living due to acute or deterioration events, which can happen more or less frequently and, often, cannot be totally relieved, causing a worsening of patients’ conditions. In the last years, a strong effort is being spent in the development of intelligent ICT applications for patients’ telemonitoring, aimed at maximizing the quality of life of chronic patients by means of a regular collection of information about their status and actions in a long-stay setting. In this paper, a knowledge based decision support system is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing their exacerbation events.
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References
Rosso, R., Munaro, G., Salvetti, O., Colantonio, S., Ciancitto, F.: CHRONIOUS: an open, ubiquitous and adaptive chronic disease management platform for Chronic Obstructive Pulmonary Disease (COPD), Chronic Kidney Disease (CKD) and Renal Insufficiency. In: Armentano, R.L., Monzon, J.E., Hudson, D., Patton, J.L. (eds.) Proceedings of Annual Int. Conf. of the IEEE, EMBC 2010 - Engineering in Medicine and Biology, Buenos Aires, Argentina, August 31-September 4, pp. 6850–6853. IEEE (2010)
Lawo, M., Papadopoulos, A., Ciancitto, F., Dellaca, R.L., Munaro, G., Rosso, R.: An open, ubiquitous and adaptive chronic disease management platform. In: 2009 6th International Workshop on Wearable Micro and Nano Technologies for Personalized Health (pHealth), June 24-26, pp. 69–71 (2009)
Gold 2008. Global initiative for chronic obstructive lung disease. A collaborative project of the National Heart, Lung, and Blood Institute, National Institutes of Health, and the World Health Organization. Bethesda (2008), http://www.goldcopd.org
Vitacca, M., Bianchi, L., Guerra, A., Fracchia, C., Spanevello, A., Balbi, B., Scalvini, S.: Tele-assistance in chronic respiratory failure patients: a randomised clinical trial. Eur. Respir. J. 33, 411–418 (2009)
NKF-KDOQI-02 Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification and Stratification (2002), http://www.kidney.org/professionals/kdoqi/guidelines_ckd/toc.htm
OWL (2009), http://www.w3.org/TR/owl-features/
Carroll, J.J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A., Wilkinson, K.: Jena: implementing the semantic web recommendations. In: Proceedings of the 13th Int.l World Wide Web Conference on Alternate Track, pp. 74–83. ACM, New York (2004)
(2011), http://www.soapui.org/
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Colantonio, S., De Pietro, G., Esposito, M., Machì, A., Martinelli, M., Salvetti, O. (2012). Decision Support for the Remote Management of Chronic Patients. In: Nikita, K.S., Lin, J.C., Fotiadis, D.I., Arredondo Waldmeyer, MT. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29734-2_6
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DOI: https://doi.org/10.1007/978-3-642-29734-2_6
Publisher Name: Springer, Berlin, Heidelberg
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