Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning.
Juntong ZengJianzhun ShaoShen LinHongchang ZhangXiaoting SuXiaocong LianYan ZhaoXiangyang JiZhe ZhengPublished in: J. Am. Medical Informatics Assoc. (2022)
Keyphrases
- intensive care unit
- operating room
- reinforcement learning
- medical doctors
- high risk
- clinical information
- medical care
- cardiac surgery
- medical data
- emergency department
- deep brain stimulation
- medical treatment
- health care
- patient records
- intensive care units
- patient care
- electronic medical record
- patient outcomes
- acute coronary syndrome
- therapy planning
- cancer patients
- clinical studies
- disease progression
- intensive care
- optimal policy
- vital signs
- liver disease
- electronic health records
- function approximation
- decision support system
- state space