Optimizing ECG to detect echocardiographic left ventricular hypertrophy with computer-based ECG data and machine learning.
Fernando De la Garza-SalazarMaria Elena Romero-IbarguengoitiaJosé Ramón Azpiri LópezArnulfo González-CantúPublished in: PloS one (2021)
ECG computer-based data and the C5.0 determined a new set of ECG parameters to predict Echo-LVH. The CHCM classifies patients as Echo-LVH with repolarization abnormalities or LVH with increased voltage. The CHCM has a similar accuracy, and is slightly more sensitive than the state-of-the-art criteria.
Keyphrases
- heart rate variability
- left ventricular
- heart rate
- machine learning
- ejection fraction
- end stage renal disease
- big data
- magnetic resonance
- electronic health record
- deep learning
- newly diagnosed
- heart failure
- chronic kidney disease
- mitral valve
- aortic stenosis
- diffusion weighted
- pulmonary hypertension
- peritoneal dialysis
- contrast enhanced
- diffusion weighted imaging
- computed tomography
- left atrial
- blood pressure
- patient reported outcomes
- coronary artery disease
- cardiac resynchronization therapy
- transcatheter aortic valve replacement
- data analysis