Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management

By Jordan M. Malof, Adam E. Gaweda. 2011

11 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hematology, Management of Technology and Innovation

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. Chao Yu
2. Jiming Liu
3. Shamim Nemati
4. Guoqi Ren

In Hematology

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

In Management of Technology and Innovation

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, methodology): “y. Several studies resorted to BRL methods to derive optimal ESA dosing strategies for anemia treatment. By performing a retrospective study of a cohort of 209 hemodialysis patients, Malof and Gaweda [141] adopted the batch FQI method to achieve dosing strategies that were superior to a standard AMP”