Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neuro-Dynamic Programming
Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
Neural Networks - 2005 Special issue: IJCNN 2005
Use of Reinforcement Learning in Two Real Applications
Recent Advances in Reinforcement Learning
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This paper deals with the validation of a Reinforcement Learning (RL) policy for dosage optimization of Erythropoietin (EPO). This policy was obtained using data from patients in a haemodialysis program during the year 2005. The goal of this policy was to maintain patients' Haemoglobin (Hb) level between 11.5 g/dl and 12.5 g/dl. An individual management was needed, as each patient usually presents a different response to the treatment. RL provides an attractive and satisfactory solution, showing that a policy based on RL would be much more successful in achieving the goal of maintaining patients within the desired target of Hb than the policy followed by the hospital so far. In this work, this policy is validated using a cohort of patients treated during 2006. Results show the robustness of the policy that is also successful with this new data set.