Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers.
Esmeralda Ruiz PujadasNay AungLiliana SzaboZahra Raisi-EstabraghMarina CamachoSteffen E. PetersenPolyxeni GkontraKarim LekadirPublished in: MIUA (2) (2024)
Keyphrases
- heart disease
- machine learning
- atrial fibrillation
- contrast enhanced
- ecg signals
- heart rate variability
- medical diagnosis
- data mining
- medical records
- spectral analysis
- knowledge acquisition
- machine learning algorithms
- computer vision
- left atrium
- heart rate
- artificial intelligence
- computer assisted
- text mining
- natural language processing
- natural language
- feature selection