Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
Michael SchrempfDiether KramerStefanie JaukSai P. K. VeerankiWerner LeodolterPeter P. RainerPublished in: dHealth (2021)
Keyphrases
- machine learning
- risk factors
- acute coronary syndrome
- prediction accuracy
- natural disasters
- prediction algorithm
- statistical methods
- prediction model
- knowledge acquisition
- learning algorithm
- explanation based learning
- risk management
- data analysis
- patient data
- supervised learning
- event detection
- risk assessment
- machine learning methods
- machine learning algorithms
- risk analysis
- text mining
- information extraction
- extreme events
- data mining
- artificial intelligence
- high risk
- heart rate
- predictive modeling
- computer vision
- computational biology
- natural language processing
- decision trees
- news stories
- temporal patterns
- prediction error
- inductive learning
- human activities
- text classification
- knowledge discovery
- knowledge representation
- natural language
- risk averse
- risk measures
- feature selection