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Signals and Telecommunications Journal

Mining Telemonitoring Data from Congestive-heart-failure Patients
Mitja Luštrek, Maja Somrak
Jozef Stefan Institute, Department of Intelligent Systems & Jozef Stefan International Postgraduate School
Abstract: The Chiron project carried out an observational study in which congestive-heart-failure patients were telemonitored in two countries. Data from 1,068 recording days of 25 patients were gathered, consisting of 15 dynamic parameters (measured daily or continuously) and 49 static parameters (measured once or a few times during the study). The features derived from these parameters were mined for their association with the feeling of good/bad health. The findings mostly correspond to the current medical knowledge, although some may represent new insights.
Keywords: Telemonitoring, Teledata Mining Mining Telemonitoring Data from Congestive-heart-failure Patients
DOI:https://doi.org/10.6025/stj/2019/8/2/60-66
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References:
[1] Klersy, C., De Silvestri, A., Gabutti, G., Regoli, F., Auricchio, A. (2009). A meta-analysis of remote monitoring of heart failure patients. Journal of the American College of Cardiology, 54, 1683–1694.
[2] Inglis, S. C., Clark, R. A., McAlister, F. A., Stewart, S., Cleland, J. G. (2011). Which components of heart failure programmes are effective? A systematic review and meta-analysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: abridged Cochrane Review. European Journal of Heart Failure 13, 1028–1040.
[3] Sousa, C., Leite, S., Lagido, R., Ferreira, L., Silva- Cardoso, J., Maciel, M. J. (2014). Telemonitoring in heart failure: A state-ofthe- art review. Revista Portuguesa de Cardiologia, 33 (4) 229–239.
[4] Chiron project. http://www.chiron-project.eu/.
[5] Mazomenos, E., Rodríguez, J. M., Cavero, C., Tartarisco, G., Pioggia, G., Cvetkovi, B., Kozina, S., Gjoreski, H., Luštrek, M., Solar, H., Marincic, D., Lampe, J., Bonfiglio, S., Maharatna, K. (2014). Case Studies. In: System Design for Remote Healthcare, 277–332.
[6] Luštrek, M., Cvetkovi, B., Bordone, M., Soudah, E., Cavero, C., Rodríguez, J. M., Moreno, A., Brasaola, A., Puddu, P. E. (2013). Supporting clinical professionals in decisionmaking for patients with chronic diseases. Proc. IS 2013, 126–129.
[7] Puddu, P. E., Morgan, J. M., Torromeo, C., Curzen, N., Schiariti, M., Bonfiglio, S. (2012). A clinical observational study in the Chiron project: Rationale and expected results. In: Impact Analysis of Solutions for Chronic Disease Prevention and Management, 74–82.
[8] Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H. (2009). The WEKA data mining software: An update. SIGKDD Explorations, 11 (1) 10–18.

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