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The United States has an opioid epidemic, and Pennsylvania's Allegheny County is among the worst. This motivates a deeper exploration of what characterizes the epidemic, such as what are risk factors for people who ultimately overdose and…

Applications · Statistics 2018-04-25 Theresa Gebert , Shuli Jiang , Jiaxian Sheng

Drug overdose deaths, including from opioids, remain a significant public health threat to the United States (US). To abate the harms of opioid misuse, understanding its prevalence at the local level is crucial for stakeholders in…

Applications · Statistics 2026-01-09 Zixuan Feng , Qiushi Chen , Paul Griffin , Le Bao

A scientific paper can be divided into two major constructs which are Metadata and Full-body text. Metadata provides a brief overview of the paper while the Full-body text contains key-insights that can be valuable to fellow researchers. To…

Digital Libraries · Computer Science 2023-08-28 Azanzi Jiomekong , Sanju Tiwari

The opioid crisis has been one of the most critical society concerns in the United States. Although the medication assisted treatment (MAT) is recognized as the most effective treatment for opioid misuse and addiction, the various side…

Adverse Drug Reactions (ADRs) are a leading cause of morbidity and mortality. Existing prediction methods rely mainly on chemical similarity, machine learning on structured databases, or isolated target profiles, but often fail to integrate…

Biomolecules · Quantitative Biology 2026-03-03 David Jackson , Michael Gertz , Jürgen Hesser

Opioid use disorder (OUD) continuously poses major public health challenges and social implications worldwide with dramatic rise of opioid dependence leading to potential abuse. Despite that a few pharmacological agents have been approved…

Biomolecules · Quantitative Biology 2023-01-13 Hongsong Feng , Rana Elladki , Jian Jiang , Guo-Wei Wei

The conceptual structure of opioids, based on the bibliometric analysis of 4,935 articles of the Web of Science was constructed. The results were processed identifying the most cited articles to extract the main connections and frequencies…

Digital Libraries · Computer Science 2020-03-31 C. Aguado , A. Silva , V. M. Castano

The United States (US) opioid crisis contributed to 81,806 fatalities in 2022. It has strained hospitals, treatment facilities, and law enforcement agencies due to the enormous resources and procedures needed to respond to the crisis. As a…

Computational Engineering, Finance, and Science · Computer Science 2025-07-14 Veronica M. White , Laura A. Albert

Substance Use Disorders (SUDs) involve the misuse of any or several of a wide array of substances, such as alcohol, opioids, marijuana, and methamphetamine. SUDs are characterized by an inability to decrease use despite severe social,…

Computers and Society · Computer Science 2020-06-25 Lana Yarosh , Suzanne Bakken , Alan Borning , Munmun De Choudhury , Cliff Lampe , Elizabeth Mynatt , Stephen Schueller , Tiffany Veinot

Opiates are some of the most effective pain relief medications available for patients suffering from cancer and surgery-related pain. Despite the affordability and effectiveness of these medications, access to opiates is highly…

Applications · Statistics 2016-12-05 Kris Sankaran , Suzanne Tamang , Ami Bhatt

Knowledge graphs and structural causal models have each proven valuable for organizing biomedical knowledge and estimating causal effects, but remain largely disconnected: knowledge graphs encode qualitative relationships focusing on facts…

Artificial Intelligence · Computer Science 2025-05-13 Sumyyah Toonsi , Paul Schofield , Robert Hoehndorf

Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and…

Opioid overdose is a growing public health crisis in the United States. This crisis, recognized as "opioid epidemic," has widespread societal consequences including the degradation of health, and the increase in crime rates and family…

Machine Learning · Computer Science 2020-06-01 Ali Mert Ertugrul , Yu-Ru Lin , Tugba Taskaya-Temizel

Interference between pharmacological substances can cause serious medical injuries. Correctly predicting so-called drug-drug interactions (DDI) does not only reduce these cases but can also result in a reduction of drug development cost.…

Machine Learning · Computer Science 2019-08-06 Md. Rezaul Karim , Michael Cochez , Joao Bosco Jares , Mamtaz Uddin , Oya Beyan , Stefan Decker

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship…

Machine Learning · Computer Science 2023-04-21 Usha Lokala , Orchid Chetia Phukan , Triyasha Ghosh Dastidar , Francois Lamy , Raminta Daniulaityte , Amit Sheth

The intrinsic complexity of human biology presents ongoing challenges to scientific understanding. Researchers collaborate across disciplines to expand our knowledge of the biological interactions that define human life. AI methodologies…

The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States. Many strategies have been developed by the federal and…

Computation and Language · Computer Science 2024-09-11 Yuchen Wang , Zhengyu Fang , Wei Du , Shuai Xu , Rong Xu , Jing Li

The US opioid overdose epidemic has been a major public health concern in recent decades. There has been increasing recognition that its etiology is rooted in part in the social contexts that mediate substance use and access; however,…

Social and Information Networks · Computer Science 2024-10-24 Kushagra Tiwari , M. Amin Rahimian , Mark S. Roberts , Praveen Kumar , Jeannine M. Buchanich

Drug repurposing is more relevant than ever due to drug development's rising costs and the need to respond to emerging diseases quickly. Knowledge graph embedding enables drug repurposing using heterogeneous data sources combined with…

Predicting drug side-effects before they occur is a key task in keeping the number of drug-related hospitalizations low and to improve drug discovery processes. Automatic predictors of side-effects generally are not able to process the…

Machine Learning · Statistics 2022-12-01 Pietro Bongini , Elisa Messori , Niccolò Pancino , Monica Bianchini