Noninvasive prediction of catheter ablation acute outcome in persistent atrial fibrillation based on logistic regression of ECG fibrillatory wave amplitude and spatio-temporal variability.
Marianna MeoVicente ZarzosoOlivier MesteDecebal Gabriel LatcuNadir SaoudiPublished in: EMBC (2013)
Keyphrases
- logistic regression
- atrial fibrillation
- ecg signals
- heart rate variability
- decision trees
- prediction accuracy
- logistic regression models
- naive bayes
- breast cancer
- loss function
- support vector
- heart rate
- prognostic models
- spectral analysis
- linear support vector machines
- classification accuracy
- moving objects
- three dimensional
- markov random field