Abstract
To deal with the large amount of data produced by telemonitoring of patients with chronic diseases, a decision support system (DSS) was developed. The DSS uses sensor data and the data from a patient’s electronic health record as the input. It assesses the risk to the patient’s health by exploiting the existing medical knowledge. The risk assessment can show the contribution of the individual monitored parameters to the risk, and can be tailored by the doctor to each patient.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chiron project, http://www.chiron-project.eu
Pocock, S.J., Ariti, C.A., McMurray, J.J.V., Maggioni, A., Krber, L., Squire, I.B., Swedberg, K., Dobson, J., Poppe, K.K., Whalley, G.A., Doughty, R.N.: Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. European Heart Journal 34, 1404–1413 (2013)
Yan, H., Jiang, Y., Zheng, J., Peng, C., Li, Q.: A multilayer perceptron-based medical decision support system for heart disease diagnosis. Expert Systems with Applications 30(2), 272–281 (2006)
Berner, E.S.: Clinical Decision Support Systems: Theory and Practice, 2nd edn. Health Informatics Series. Springer (2007)
Puddu, P.E., Brancaccio, G., Leacche, M., Monti, F., Lanti, M., Menotti, A., Gaudio, C., Papalia, U., Marino, B.: Prediction of early and delayed postoperative deaths after coronary artery bypass surgery alone in Italy. Italian Heart Journal 3(3), 166–181 (2002)
Barca, C.C., Rodríguez, J.M., Puddu, P.E., Luštrek, M., Cvetković, B., Bordone, M., Soudah, E., Moreno, A., de la Peña, P., Rugnone, A., Foresti, F., Tamburini, E.: Advanced Medical Expert Support Tool (A-MEST): EHR-Based Integration of Multiple Risk Assessment Solutions for Congestive Heart Failure Patients. In: Roa Romero, L.M. (ed.) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol. 41, pp. 1334–1337. Springer, Heidelberg (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing
About this paper
Cite this paper
Kozina, S., Puddu, P.E., Luštrek, M. (2013). System for Supporting Clinical Professionals Dealing with Chronic Disease Patients. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-04406-4_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04405-7
Online ISBN: 978-3-319-04406-4
eBook Packages: Computer ScienceComputer Science (R0)
