Chronic conditions place a high cost burden on the healthcare system and deplete the
quality of life for millions of Americans. Digital innovations such as mobile health (mHealth) …

The most appropriate next step in depression treatment after the initial treatment fails is
unclear. This study explores the suitability of the Markov decision process for optimizing …

Hepatitis C virus (HCV) prevalence in prison systems is 10 times higher than in the general
population, and hence prison systems offer a unique opportunity to control the HCV …

Background: A paucity of data exists regarding long-term outcomes among patients with
hepatitis C who undergo total hip arthroplasty (THA) and total knee arthroplasty (TKA) …

Atherosclerotic cardiovascular disease (ASCVD) is among the leading causes of death in
the US. Although research has shown that ASCVD has genetic elements, the understanding …

Sequential decision-making problems in the context of uncertainty naturally arise in
healthcare settings. In general, the frequency at which decisions can be made or changed is …

As urbanization accelerates and population structures change, healthcare buildings are
becoming increasingly crowded. Predicting functional area demand is crucial to adapting to …

Dynamic resource allocation for prevention, screening, and treatment interventions in
population disease management has received much attention in recent years due to …

When futures are uncertain and technological developments stand to have large impacts on
healthcare systems, scenario studies can be deployed as a tool for policy exploration. We …

We embed an approximate dynamic program into a branch-and-bound framework to solve
sequential resource allocation problems in population disease management. The proposed …