Machine learning (ML) methodology used in the social and health sciences needs to fit the
intended research purposes of description, prediction, or causal inference. This paper …

Background Machine learning (ML) has spread rapidly from computer science to several
disciplines. Given the predictive capacity of ML, it offers new opportunities for health …

Background Firearm homicides disproportionately affect Black communities. Redlining–
discriminatory lending practices of the early 20 th century-are associated with current …

Unemployment and violence both increased during the coronavirus pandemic in the United
States (US), but no studies to our knowledge have examined their association. Using data …

This study evaluated prediction performance of three different machine learning (ML)
techniques in predicting opioid misuse among US adolescents. Data were drawn from the …

This study proposes to address the economic significance of unpaid taxes by using an
automatic system for predicting a tax default. Too little attention has been paid to tax default …

This study examined the population-based incidence of firearm homicide in the United
States to identify geographic concentrations and to determine whether such concentrations …

Importance Black individuals are disproportionately exposed to gun violence in the US.
Suicide rates among Black US individuals have increased in recent years. Objective To …

Importance Firearm violence is a leading public health crisis in the US. Understanding
whether and how ambient temperature is associated with firearm violence may identify new …

Importance Firearm injuries constitute a public health crisis. At the healthcare encounter
level, they are, however, rare events. Objective To develop a predictive model to identify …