Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients.
Aleeha IftikharRaymond R. BondKhaled RjoobCharles KnoeryStephen J. LeslieAnne McShaneVictoria McGilliganAaron J. PeacePublished in: CinC (2020)
Keyphrases
- machine learning
- patient outcomes
- acute coronary syndrome
- medical practice
- early diagnosis
- intensive care
- patient data
- medical data
- septic shock
- learning algorithm
- machine learning methods
- artificial intelligence
- pattern recognition
- clinical data
- computer vision
- acute myocardial infarction
- traumatic brain injury
- vital signs
- machine learning algorithms
- text classification
- natural language processing
- knowledge representation
- text mining
- intensive care unit
- early detection
- neural network
- feature selection
- knowledge discovery
- support vector machine
- high risk
- information extraction
- explanation based learning
- supervised learning
- statistical methods
- computer aided
- inductive logic programming
- health care
- active learning
- expert systems
- decision trees
- statistical analysis
- information systems
- decision support