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Anesthesia and analgesia · Feb 2011
Reinforcement learning: a novel method for optimal control of propofol-induced hypnosis.
- Brett L Moore, Anthony G Doufas, and Larry D Pyeatt.
- Department of Computer Science, Texas Tech University, P.O. Box 43104, Lubbock, TX 79409-3104, USA.
- Anesth. Analg. 2011 Feb 1;112(2):360-7.
AbstractReinforcement learning (RL) is an intelligent systems technique with a history of success in difficult robotic control problems. Similar machine learning techniques, such as artificial neural networks and fuzzy logic, have been successfully applied to clinical control problems. Although RL presents a mathematically robust method of achieving optimal control in systems challenged with noise, nonlinearity, time delay, and uncertainty, no application of RL in clinical anesthesia has been reported.
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