Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning.
Mohanad AlkhodariDeema K. IslayemFeryal A. AlskafiAhsan H. KhandokerPublished in: IEEE Access (2020)
Keyphrases
- heart rate variability
- machine learning
- acute coronary syndrome
- high risk
- heart rate
- patient data
- spectral analysis
- data mining
- pattern recognition
- risk factors
- machine learning algorithms
- text mining
- active learning
- computer vision
- decision trees
- text classification
- semi supervised learning
- atrial fibrillation
- medical images
- classification accuracy
- multiresolution
- data analysis