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Opioid overdose rates have increased in the United States over the past decade and reflect a major public health crisis. Modeling and prediction of drug and opioid hotspots, where a high percentage of events fall in a small percentage of…

Machine Learning · Statistics 2023-02-14 Xueying Liu , Jeremy Carter , Brad Ray , George Mohler

Opioid overdose has emerged as a full blown epidemic in the United States. In the last few years, there has been an alarming increase in Opioid related deaths, resulting in the loss of 63,600 lives in 2016 alone. The epidemic which is…

Computers and Society · Computer Science 2018-05-16 Kaustav Basu , Sandipan Choudhuri , Arunabha Sen , Aniket Majumdar

This paper introduces the OPIAID algorithm, a novel approach for predicting and recommending personalized opioid dosages for individual patients. The algorithm optimizes pain management while minimizing opioid related adverse events (ORADE)…

In recent years, the US has experienced an opioid epidemic with an unprecedented number of drugs overdose deaths. Research finds such overdose deaths are linked to neighborhood-level traits, thus providing opportunity to identify effective…

Machine Learning · Computer Science 2021-12-07 Sachin Gavali , Chuming Chen , Julie Cowart , Xi Peng , Shanshan Ding , Cathy Wu , Tammy Anderson

We present efforts in the fields of machine learning and time series forecasting to accurately predict counts of future suspected opioid overdoses recorded by Emergency Medical Services (EMS) in the state of Kentucky. Forecasts help…

Problem Definition. Increasing costs of healthcare highlight the importance of effective disease prevention. However, decision models for allocating preventive care are lacking. Methodology/Results. In this paper, we develop a data-driven…

Machine Learning · Computer Science 2023-08-15 Mathias Kraus , Stefan Feuerriegel , Maytal Saar-Tsechansky

Motivation: Opioid use disorder (OUD) often arises after prescription opioid exposure and follows transitions among onset, remission, and relapse. Linked EHR-survey resources such as the All of Us Research Program enable stage-specific risk…

Quantitative Methods · Quantitative Biology 2026-01-23 Mengman Wei , Stanislav Listopad , Qian Peng

The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids,…

Computers and Society · Computer Science 2019-05-29 Maulik R. Kamdar , Tymor Hamamsy , Shea Shelton , Ayin Vala , Tome Eftimov , James Zou , Suzanne Tamang

Introduction: Chronic pain patients are at increased risk of opioid-misuse. Less is known about the unique risk conferred by each pain-management treatment, as treatments are typically implemented together, confounding their independent…

The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery calls for not only medical treatments, but also behavioral…

Social and Information Networks · Computer Science 2019-12-04 Zhou Yang , Spencer Bradshaw , Rattikorn Hewett , Fang Jin

Drug overdose deaths, including those due to prescription opioids, represent a critical public health issue in the United States and worldwide. Artificial intelligence (AI) approaches have been developed and deployed to help prescribers…

Human-Computer Interaction · Computer Science 2025-02-18 Venkatesh Sivaraman , Yejun Kwak , Courtney Kuza , Qingnan Yang , Kayleigh Adamson , Katie Suda , Lu Tang , Walid Gellad , Adam Perer

Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medications with improved efficacy and safety profiles for OUD…

Biomolecules · Quantitative Biology 2023-03-02 Hongsong Feng , Jian Jiang , Guo-Wei Wei

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

The opioid crisis remains a critical public health challenge in the United States. Despite national efforts which reduced opioid prescribing rates by nearly 45\% between 2011 and 2021, opioid-related overdose deaths more than tripled during…

Computers and Society · Computer Science 2025-08-20 Andrew Deas , Adam Spannaus , Dakotah D. Maguire , Jodie Trafton , Anuj J. Kapadia , Vasileios Maroulas

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…

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

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an alarming picture comes from the steep acceleration of such rate that increased by 21% from…

Computers and Society · Computer Science 2019-04-02 Duilio Balsamo , Paolo Bajardi , André Panisson

Background: Opioid misuse is a major public health issue in the United States and in particular Ohio. However, the burden of the epidemic is challenging to quantify as public health surveillance measures capture different aspects of the…

Applications · Statistics 2018-06-15 Staci Hepler , Erin McKnight , Andrea Bonny , David Kline

We develop a Spatio-TEMporal Mutually Exciting point process with Dynamic network (STEMMED), i.e., a point process network wherein each node models a unique community-drug event stream with a dynamic mutually-exciting structure, accounting…

The Covid-19 pandemic has intersected with the opioid epidemic to create a unique public health crisis, with the health and economic consequences of the virus and associated lockdowns compounding pre-existing social and economic stressors…

Computers and Society · Computer Science 2021-11-03 Angela E. Kilby , Charlie Denhart