An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment.
M. RoseiroJorge HenriquesSimão ParedesTeresa RochaJosé SousaPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- risk assessment
- risk factors
- machine learning
- risk management
- risk analysis
- network security
- decision making
- information security
- learning algorithm
- power plant
- blood pressure
- statistical methods
- economic impact
- artificial intelligence
- clinical trials
- cardiovascular disease
- evidence theory
- databases
- machine learning methods
- supervised learning
- data mining
- computational intelligence
- data analysis
- information systems
- real world
- neural network