Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad (Preprint)
Abstract:UNSTRUCTURED
Purpose: Currently, selection of patients for sequential vs. concurrent chemotherapy/radiation regimens lacks evidentiary support, and it is based on locally-optimal decisions for each step. We aim to optimize the multi-step treatment of head and neck cancer patients and to predict multiple patient survival and toxicity outcomes, and we develop, apply, and evaluate a first application of deep-Q-learning (DQL) and simulation to this problem.
Patients and methods: The treatm… Show more
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