Dynamic Treatment Regimes for Optimizing Healthcare

Abstract

Supply Chain Management (SCM), long an integral part of Operations Management, focuses on all elements of creating a product or service, and delivering that product or service, at the optimal cost and within an optimal timeframe. It spans the movement and storage of raw materials, work-in-process inventory, and finished goods from point of origin to point of consumption. To facilitate physical flows in a time-efficient and cost-effective manner, the scope of SCM includes technologyenabled information flows and financial flows.The Springer Series in Supply Chain Management, under the guidance of founding Series Editor Christopher S. Tang, covers research of either theoretical or empirical nature, in both authored and edited volumes from leading scholars and practitioners in the field -with a specific focus on topics within the scope of SCM.

Reinforcement learning for sequential decision making in population research

“…In fact, it is unrealistic to believe that governmental policies for attracting international students will have the same effect over time. Practical examples of such protocols can be found in personalized medicine (Chakraborty and Moodie 2013;Deliu and Chakraborty 2022;Tsiatis et al 2019)-where interventions are dynamically tailored to the uniquely evolving health status of each patient-or recommender systems (Afsar et al 2022), which adapt news, entertainment, or shopping items to individual customer preferences. Notably, these examples have extensively embraced the use of reinforcement learning (RL) to solve complex sequential decision-making tasks.…”