Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
Problem Definition. Increasing costs of healthcare highlight the importance of effective disease prevention. However, decision models for allocating preventive care are lacking. Methodology/Results. In this paper, we develop a data-driven decision model for determining a cost-effective allocation of preventive treatments to patients at risk. Specifically, we combine counterfactual inference, machine …