Advancements in the development of deep learning and computer vision-based approaches
have the potential to provide managers and engineers with the ability to improve the safety …

Objective Prescription medication (PM) misuse and abuse is a major health problem
globally, and a number of recent studies have focused on exploring social media as a …

Background Expanding access to and use of medication for opioid use disorder (MOUD) is a
key component of overdose prevention. An important barrier to the uptake of MOUD is …

Drug abuse continues to accelerate towards becoming the most severe public health
problem in the United States. The ability to detect drug-abuse risk behavior at a population …

In this article, we perform a large-scale study of the Twitter follower network, involving
around 0.42 million users who justify DA, to characterize the spreading of DA tweets across …

Background The collection and examination of social media has become a useful
mechanism for studying the mental activity and behavior tendencies of users. Through the …

Prescription (aka Rx) drugs can be easily overprescribed and lead to drug abuse or opioid
overdose. Accordingly, a state-run prescription drug monitoring program (PDMP) in the …

Owing to the quick spread of minute health-related experiences, the distillation of knowledge
from such unstructured narratives is an extremely challenging task. In spite of the success of …

Because of the popularity of the Internet of Things (IoT), the rapid expansion of computer
networks, and the vast number of important applications, cyber security has lately garnered …

Self-taught learning models are successfully applied to improve the target model's
performance in different low-resource environments. In this setting, features are learned …