Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning.
Samah J. FodehTaihua LiHaya JaradBasmah SafdarPublished in: ICDM Workshops (2018)
Keyphrases
- machine learning
- blood pressure
- acute myocardial infarction
- pattern recognition
- machine learning methods
- machine learning algorithms
- coronary artery disease
- data mining
- learning algorithm
- information extraction
- knowledge acquisition
- clinical trials
- learning tasks
- feature selection
- decision trees
- reinforcement learning
- support vector machine
- active learning
- computer science
- explanation based learning
- knowledge discovery
- supervised learning
- statistical methods
- knowledge representation
- inductive logic programming
- medical data
- clinical data
- x ray
- artificial intelligence
- natural language processing