Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers.
Khaled RjoobVictoria McGilliganRaymond R. BondSteven WattersonMelody ChemalyRoisin McAlisterTiago De Melo MalaquiasStephen J. LeslieCharles KnoeryAleeha IftikharAnne McShaneAnthony BjoursonAaron J. PeacePublished in: CinC (2020)
Keyphrases
- machine learning
- pattern recognition
- false positives
- detection algorithm
- object detection
- detection rate
- machine learning methods
- acute coronary syndrome
- breast cancer
- supervised learning
- automatic detection
- learning tasks
- detection method
- knowledge acquisition
- text mining
- support vector machine
- image data
- decision trees
- artificial intelligence
- data mining
- neural network
- database
- information extraction
- anomaly detection
- database systems
- genetic algorithm
- inductive logic programming
- databases