Raising High-Risk Awareness in Hemodynamic Treatment with Reinforcement Learning for Septic Shock Patients.
Meicheng YangRunfa LiTong HaoCaiyun MaJianqing LiChengyu LiuPublished in: CinC (2022)
Keyphrases
- high risk
- reinforcement learning
- septic shock
- patient data
- intensive care
- chronic disease
- risk factors
- intensive care unit
- cardiac surgery
- clinical data
- learning algorithm
- medical records
- blood pressure
- decision support
- functional magnetic resonance imaging
- machine learning
- intraoperative
- health care
- rule generation
- clinical trials
- human brain
- post operative
- data mining