Reinforcement learning approach to individualization of chronic pharmacotherapy

By Adam E. Gaweda, Mehmet K. Muezzinoglu, George R. Aronoff, Alfred A. Jacobs, J. Zurada, Michael E. Brier. 2005

13 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Public Health, Environmental and Occupational Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Adam E. Gaweda
2. J. Zurada

In Control and Systems Engineering

1. Adam E. Gaweda
2. J. Zurada

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, neutral): “individual variability in the patient’s response, the HGB level of some patients usually oscillates around the target range, causing several risks and side-effects. As early as in 2005, Gaweda et al. [133] first proposed using RL to perform individualized treatment in the management of renal anemia. ”
• Incorporating prior knowledge into Q-learning for drug delivery individualization (2005, methodology): “In [3] and [2] we have proposed the use of two main-stream RL methods as a means to facilitate individualized management of anemia due to kidney failure.”