Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques.
Hugo Calero-DiazDavid Chushig-MuzoCristina Soguero-RuízPublished in: IDEAL (2022)
Keyphrases
- risk factors
- risk management
- risk assessment
- high risk
- unsupervised learning
- cardiovascular disease
- data driven
- completely unsupervised
- database
- decision making
- supervised classification
- semi supervised
- risk analysis
- heart rate
- blood pressure
- portfolio optimization
- neural network
- real time
- website
- weakly supervised
- unsupervised methods
- minimum risk