Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease.
Huilin JiangHaifeng MaoHuimin LuPeiyi LinWei GarryHuijing LuGuangqian YangTimothy H. RainerXiaohui ChenPublished in: Int. J. Medical Informatics (2021)
Keyphrases
- emergency department
- cardiovascular disease
- machine learning
- machine learning algorithms
- coronary artery disease
- statistical methods
- clinical diagnosis
- artificial intelligence
- model selection
- vital signs
- machine learning methods
- medical diagnosis
- clinical data
- statistical models
- risk factors
- image classification
- decision support system
- patient groups