Classification Methods for Atrial Fibrillation Prediction after CABG
| Autor: | Gordana Rajsman, Siniša Sovilj, Ratko Magjarević |
|---|---|
| Přispěvatelé: | Jarm, T., Kramar P., Županič A. |
| Rok vydání: | 2007 |
| Předmět: |
medicine.medical_specialty
Bypass grafting business.industry classification prediction atrial fibrillation CABG discriminant analysis decision tree P wave Atrial fibrillation Predictor variables Linear discriminant analysis medicine.disease Internal medicine Cardiology medicine Classification methods cardiovascular diseases business Categorical variable |
| Zdroj: | 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007 ISBN: 9783540730439 |
| DOI: | 10.1007/978-3-540-73044-6_13 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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