Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method

arXiv:2402.11123v1 Announce Type: new
Abstract: Warfarin, an anticoagulant medication, is formulated to prevent and address conditions associated with abnormal blood clotting, making it one of the most prescribed drugs globally. However, determining the suitable dosage remains challenging due to individual response variations, and prescribing an incorrect dosage may lead to severe consequences. Contextual bandit and reinforcement learning have shown promise in addressing this issue. Given the wide availability of observational data and safety concerns of decision-making in healthcare, we focused …

abstract arxiv cs.ai cs.lg drugs evaluation making offline policy type