Reinforcement Learning Algorithm for Blood Glucose Control in Diabetic Patients

By M. O. M. Javad, Stephen Agboola, Kamal Jethwani, I. Zeid, Sagar V. Kamarthi. 2015

17 citations recorded by the source corpus.

Subfields: Endocrinology, Diabetes and Metabolism

How researchers see this paper

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

1. Rodica Pop-Busui
2. Ian Fox
3. Joyce M. Lee
4. Jenna Wiens
5. Alexander Pan

Citations in the corpus

• A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study (2019, neutral): “Javad et al (2015) proposed an RL approach for insulin dosage recommendation for patients with T1DM using an insulin pump based on the data from limited number of patients and states [26].”
• Deep Reinforcement Learning for Closed-Loop Blood Glucose Control (2020, background): “Many of these works investigated the use of RL to adapt existing insulin treatment regimens to learn a human-in-the-loop policy (Ngo et al., 2018; Oroojeni Mohammad Javad et al., 2015; Sun et al., 2018).”