Adaptive treatment strategies in chronic disease.

By Philip W. Lavori, R. Dawson. 2008

114 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

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Citations in the corpus

Reinforcement Learning in Healthcare: A Survey (2019, background): “tive interventions [75], or adaptive treatment strategies [76], provide a new paradigm to automate the process of developing new effective treatment regimes for individual patients with long-term care [77].”
Adaptive Interventions Treatment Modelling and Regimen Optimization Using Sequential Multiple Assignment Randomized Trials (Smart) and Q-Learning (2018, background): “DTRs are also known as treatment strategies [5, 29-31], adaptive treatment strategies [32, 33] or treatment policy [34-36]and can be understood as the system that supports a decision maker for making clinical or treatment decisions in medical scenario.”
Adaptive Interventions in Child and Adolescent Mental Health (2016, background): “Adaptive interventions are also known as “adaptive treatment strategies” (Lavori & Dawson, 2008; Murphy et al., 2007a, 2007b), “dynamic treatment strategies” (Lavori & Dawson, 2014), or sometimes simply “treatment strategies” (Lavori et al., 2000).”
Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach (2011, background): “The adapting treatment strategy is characterized by the use of intermediate, early markers of response to dynamically alter treatment decisions, in order to achieve a favorable ultimate outcome [6].”
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes (2019, background): “These decision rules are alternatively known as adaptive treatment strategies [12, 13, 19, 33, 34] or treatment policies [16, 37, 38].”
Designing a Pilot Sequential Multiple Assignment Randomized Trial for Developing an Adaptive Treatment Strategy (2012, unknown): “Sequential multiple assignment randomized trials (SMARTs, discussed in more detail below) have been proposed to facilitate or accelerate the development of ATSs and represent an important advancement in clinical research methodology [5, 23–25].”
Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research (2014, background): “, behavioral or medical interventions, or a combination) is adapted and readapted over time in response to the specific needs and evolving status of the individual [1, 2].”