Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.
Chandra Prasetyo UtomoXue LiWeitong ChenPublished in: ICIS (2018)
Keyphrases
- partially observable
- medical care
- critical care
- markov decision problems
- belief state
- fully observable
- decision problems
- state space
- medical staff
- partial observability
- reinforcement learning
- markov decision processes
- dynamical systems
- partial observations
- infinite horizon
- patient care
- state variables
- recommender systems
- health care
- action models
- information seeking
- chronic disease
- clinical guidelines
- planning problems
- belief revision
- general purpose
- reward function
- data mining
- utility function
- decision support system
- dynamic programming
- np hard
- decision making