Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning.
Frédéric LogéErwan Le PennecHabiboulaye Amadou BoubacarPublished in: CoRR (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- diabetic patients
- temporal difference
- blood glucose
- chronic disease
- high risk
- function approximation
- diabetes mellitus
- cardiovascular disease
- medical data
- learning algorithm
- health care providers
- health care
- primary care
- medical knowledge
- type ii
- continuous monitoring
- multi agent
- machine learning
- early diagnosis
- clinical data
- contrast agent
- health related
- video sequences
- real world