A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data.
Erick Martinez-RíosLuis MontesinosMariel Alfaro-PonceLeandro PecchiaPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- blood pressure
- physiological data
- heart rate
- physiological signals
- machine learning
- blood glucose
- patient data
- intensive care unit
- intensive care
- risk factors
- anomaly detection
- decision trees
- data mining
- knowledge discovery
- clinical data
- medical data
- machine learning methods
- unsupervised learning
- ecg signals
- case based reasoning
- health care
- machine learning algorithms
- feature selection
- decision support system