3 papers
stat.ML2026
Near-Equivalent Q-learning Policies for Dynamic Treatment Regimes
Sophia Yazzourh, Erica E. M. Moodie
Precision medicine aims to tailor therapeutic decisions to individual patient characteristics. This objective is commonly formalized through dynamic treatment regimes, which use st…
stat.ME2025
Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Sophia Yazzourh, Nicolas Savy, Philippe Saint-Pierre +1
The goal of precision medicine is to provide individualized treatment at each stage of chronic diseases, a concept formalized by Dynamic Treatment Regimes (DTR). These regimes adap…
stat.ME2024
Bayesian Outcome Weighted Learning
Sophia Yazzourh, Nikki L. B. Freeman
One of the primary goals of statistical precision medicine is to learn optimal individualized treatment rules (ITRs). The classification-based, or machine learning-based, approach…