Classification of blood pressure in critically ill patients using photoplethysmography and machine learning.
Elisa Mejía-MejíaJames M. MayMohamed ElgendiPanayiotis A. KyriacouPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- blood pressure
- machine learning
- heart rate
- blood glucose
- decision trees
- machine learning methods
- supervised learning
- machine learning algorithms
- text classification
- support vector machine
- risk factors
- feature selection
- feature extraction
- classification accuracy
- knowledge discovery
- intensive care unit
- normal controls
- diabetes mellitus
- learning algorithm
- model selection
- medical data
- computational intelligence
- long term
- feature space
- decision making
- critical care