Prediction of Personal Cardiovascular Risk using Machine Learning for Smartphone Applications.
Edmund Y. W. SetoRaffaele GravinaJenna KimShuhao LinGiannina FerraraJenna HuaPublished in: ICHMS (2020)
Keyphrases
- machine learning
- risk factors
- prediction accuracy
- risk assessment
- learning algorithm
- predictive modeling
- prediction model
- machine learning algorithms
- machine learning approaches
- personal information
- statistical methods
- active learning
- knowledge acquisition
- computational intelligence
- prediction algorithm
- knowledge discovery
- pattern recognition
- machine learning methods
- explanation based learning
- information extraction
- natural language processing
- risk measures
- reinforcement learning
- decision trees
- computer vision
- artificial intelligence
- data sets
- data mining
- machine learning and statistical
- cardiovascular disease
- protein secondary structure prediction
- computational biology
- prediction error
- risk management
- mobile applications
- model selection
- text classification
- support vector machine
- knowledge representation
- feature selection
- genetic algorithm