Organ-transplanted patients typically receive high amounts of immunosuppressive drugs (e.g., tacrolimus) as a mechanism to reduce their risk of organ rejection. However, due to the diabetogenic effect of these drugs, this practice exposes them to greater risk of New-Onset Diabetes After...

There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical conditions. However, the degree to which such algorithms can affect clinical decision-making is not well understood. Our work attempts to...

Intervention policies, like stay-at-home orders, are shown to be effective in controlling the spread of the novel Coronavirus Disease 2019 (COVID-19). However, concerns over economic burdens of these policies have propelled U.S. states to move towards reopening. Decision-making in most states...

[enter Abstract BodyTo shed light on intervention policies that can be most effective in addressing the novel COVID-19, we have performed some preliminary analyses . Our analyses are based on (a) a compartmental analytical model, and (b) data that we have received from the government of Bahrain....

As a major public health crisis, the opioid epidemic caused over 556,000 deaths in the U.S. between 2000 and 2020. To control the epidemic, the Centers for Disease Control and Prevention (CDC) has developed some general guidelines, encouraging physicians to use opioid medications only when their...

A main research goal in various studies is to use an observational data set and provide a new set of counterfactual guidelines that can yield causal improvements. Dynamic Treatment Regimes (DTRs) are widely studied to formalize this process and enable researchers to find guidelines that are both...