Bayesian learning of dose-response parameters from a cohort under response-guided dosing

DOI10.1016/j.ejor.2017.07.034zbMath1374.90437OpenAlexW2735440847MaRDI QIDQ1681360

Archis Ghate, Jakob Kotas

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.07.034

zbMATH Keywords

convex optimizationdynamic programmingMarkov decision processesOR in medicineMedical treatment planning

Mathematics Subject Classification ID

Bayesian inference (62F15) Convex programming (90C25) Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40)

Related Items (4)

Min-Max Optimal Design of Two-Armed Trials with Side Information ⋮ Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials ⋮ An intelligent intervention strategy for patients to prevent chronic complications based on reinforcement learning ⋮ Optimal stopping for response-guided dosing

Uses Software

• msm

Cites Work

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