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Showing 1 to 3 of 3 for “"Dynamic treatment regime"”.

  1. On Dynamic Treatment Regimes: Collaborative Search and LLM-Driven Decision Trees

    This thesis evaluates the validity of current dynamic treatment regime algorithms and presents a novel data structure for extracting treatment decisions from unstructured clinical notes. The main contribution is the Clinical Decision Tree (CDT) which uses large language models (LLMs) to extract key …

    mit Repository record for On Dynamic Treatment Regimes: Collaborative Search and LLM-Driven Decision Trees (opens in a new tab)

  2. Bayesian Pharmacokinetic Models for Inference and Optimal Sequential Decision Making with Applications in Personalized Medicine

    … in drug response is an obstacle to optimal treatment. Pharmacokinetic modelling offers one approach to studying drug response, often with covariate focused dose adjustment criteria being reported along side pharmacokinetic modelling. However, excess variation in concentrations continues to …

    uwo Repository record for Bayesian Pharmacokinetic Models for Inference and Optimal Sequential Decision Making with Applications in Personalized Medicine (opens in a new tab)

  3. Statistical Methods for Off-Policy Learning

    … mainly been studied in two settings: dynamic treatment regimes (DTRs), which focus on controlling for confounding in medical problems with short decision horizons, and Markov decision processes (MDPs) in reinforcement learning (RL), which focus on dimension reduction in closed systems …

    cambridge Repository record for Statistical Methods for Off-Policy Learning (opens in a new tab)