An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter.
Guang ZhangJiaMeng XuHuiquan WangMing YuJing YuanPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- early warning
- learning algorithm
- decision support system
- financial distress
- machine learning
- disaster management
- active learning
- dynamic environments
- back propagation
- financial crisis
- management system
- software engineering
- supervised learning
- open source
- training data
- machine learning algorithms
- decision making
- artificial intelligence