Abstract
The aim of this study is to compare different methods for the classification type problems specifically in predicting Atrial Fibrillation (AF) after Coronary Artery Bypass Grafting (CABG). The prediction/classification model tends to predict a categorical dependent variable (which determines the belonging of patient to a group of patients that have or to a group of patients that have not developed AF), by one or more continuous and/or categorical predictor variables derived from the patients' history, electrocardiograms and in particular from the P wave. We have obtained the parameters from continuously recorded ECG after the surgery.
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References
Sovilj S, Rajsman G, Magjarevic R (2006) Multiparameter Prediction Model for Atrial Fibrillation after CABG. Detector Proc Computers in Cardiology 33:489–92.
Sovilj S, Rajsman G, Magjarevic R (2005) Continuous Multiparameter Monitoring of P Wave Parameters after CABG Using Wavelet. Detector Proc Computers in Cardiology 32:945–8.
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Sovilj, S., Magjarević, R., Rajsman, G. (2007). Classification Methods for Atrial Fibrillation Prediction after CABG. In: Jarm, T., Kramar, P., Zupanic, A. (eds) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007. IFMBE Proceedings, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73044-6_13
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DOI: https://doi.org/10.1007/978-3-540-73044-6_13
Publisher Name: Springer, Berlin, Heidelberg
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