External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events.
Gilson Yuuji ShimizuElen Almeida RomãoJosé Abrão Cardeal Da CostaJoão Mazzoncini de Azevedo MarquesSandro ScarpeliniKátia Mitiko Firmino SuzukiHilton Vicente CésarPaulo M. Azevedo-MarquesPublished in: CBMS (2024)
Keyphrases
- machine learning
- prediction accuracy
- risk factors
- acute coronary syndrome
- natural disasters
- event detection
- prediction algorithm
- machine learning algorithms
- predictive modeling
- risk assessment
- learning algorithm
- decision trees
- prediction error
- machine learning methods
- learning systems
- pattern recognition
- text mining
- patient data
- active learning
- statistical methods
- inductive learning
- internal and external
- extreme events
- neural network
- risk management
- knowledge acquisition
- computational intelligence
- computer science
- reinforcement learning
- machine learning approaches
- prediction model
- explanation based learning
- human activities
- feature selection
- heart rate
- knowledge representation