Reinforcement learning-based decision support system for COVID-19

Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

(2020) Joel Hellewell et al.   Lancet Global Health

Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions

(2020) Biao Tang et al.   Journal of Clinical Medicine

Reinforcement learning-based control of tumor growth under anti-angiogenic therapy

(2019) Parisa Yazdjerdi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Control of malaria outbreak using a non-linear robust strategy with adaptive gains

(2019) Arman Rajaei et al.   IET Control Theory and Applications

Big data and machine learning in critical care: Opportunities for collaborative research

(2018) A. Núñez Reiz   Medicina Intensiva

Nonlinear robust adaptive sliding mode control of influenza epidemic in the presence of uncertainty

(2017) Mojtaba Sharifi et al.   JOURNAL OF PROCESS CONTROL

Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment

(2017) Regina Padmanabhan et al.   MATHEMATICAL BIOSCIENCES

Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning

(2015) Regina Padmanabhan et al.   Biomedical Signal Processing and Control

Evolving epidemiology of Nipah virus infection in Bangladesh: evidence from outbreaks during 2010–2011

(2015) A. CHAKRABORTY et al.   EPIDEMIOLOGY AND INFECTION

Mathematical and computational approaches to epidemic modeling: a comprehensive review

(2015) Wei Duan et al.   Frontiers of Computer Science

Robust Sliding Control of SEIR Epidemic Models

(2014) Asier Ibeas et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

(2011) Yufan Zhao et al.   BIOMETRICS

A modeling study of school closure to reduce influenza transmission: A case study of an influenza A (H1N1) outbreak in a private Thai school

(2011) Charin Modchang et al.   MATHEMATICAL AND COMPUTER MODELLING

Informing sequential clinical decision-making through reinforcement learning: an empirical study

(2010) Susan M. Shortreed et al.   MACHINE LEARNING

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients

(2009) José D. Martín-Guerrero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analysis and control of an SEIR epidemic system with nonlinear transmission rate

(2009) Na Yi et al.   MATHEMATICAL AND COMPUTER MODELLING

Infecting epidemiology with genetics: a new frontier in disease ecology

(2008) Elizabeth A. Archie et al.   TRENDS IN ECOLOGY & EVOLUTION