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Related papers: Predicting Future Opioid Incidences Today

200 papers

Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to…

Methodology · Statistics 2023-05-12 Staci A. Hepler , David Kline , Andrea Bonny , Erin McKnight , Lance A. Waller

The opioid epidemic remains one of the most severe public health crises in the United States, yet evaluating policy interventions before implementation is difficult: multiple policies interact within a dynamic system where targeting one…

Machine Learning · Computer Science 2026-02-16 Yijun Ma , Zehong Wang , Weixiang Sun , Zheyuan Zhang , Kaiwen Shi , Nitesh Chawla , Yanfang Ye

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

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…

The opioid crisis remains one of the most daunting and complex public health problems in the United States. This study investigates the national epidemic by analyzing vulnerability profiles of three key factors: opioid-related mortality…

Opioid addiction is a severe public health threat in the U.S, causing massive deaths and many social problems. Accurate relapse prediction is of practical importance for recovering patients since relapse prediction promotes timely relapse…

Social and Information Networks · Computer Science 2018-11-30 Zhou Yang , Long Nguyen , Fang Jin

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Computation and Language · Computer Science 2024-06-17 Chenghao Yang , Tuhin Chakrabarty , Karli R Hochstatter , Melissa N Slavin , Nabila El-Bassel , Smaranda Muresan

The dearth of prescribing guidelines for physicians is one key driver of the current opioid epidemic in the United States. In this work, we analyze medical and pharmaceutical claims data to draw insights on characteristics of patients who…

Machine Learning · Computer Science 2020-05-01 Chirag Nagpal , Dennis Wei , Bhanukiran Vinzamuri , Monica Shekhar , Sara E. Berger , Subhro Das , Kush R. Varshney

Preoperative opioid use has been reported to be associated with higher preoperative opioid demand, worse postoperative outcomes, and increased postoperative healthcare utilization and expenditures. Understanding the risk of preoperative…

Machine Learning · Computer Science 2022-05-18 Yuming Sun , Jian Kang , Chad Brummett , Yi Li

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

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 being…

Artificial Intelligence · Computer Science 2021-03-30 Usha Lokala , Francois Lamy , Triyasha Ghosh Dastidar , Kaushik Roy , Raminta Daniulaityte , Srinivasan Parthasarathy , Amit Sheth

The opioid epidemic continues to ravage communities worldwide, straining healthcare systems, disrupting families, and demanding urgent computational solutions. To combat this lethal opioid crisis, graph learning methods have emerged as a…

Machine Learning · Computer Science 2026-02-17 Tianyi Ma , Yiyang Li , Yiyue Qian , Zheyuan Zhang , Zehong Wang , Chuxu Zhang , Yanfang Ye

COVID-19 has had a large scale negative impact on the health of opioid users exacerbating the health of an already vulnerable population. Critical information on the total impact of COVID-19 on opioid users is unknown due to a lack of…

Statistics Theory · Mathematics 2025-03-24 Cyen J. Peterkin , Lance A. Waller , Emily N. Peterson

Opioids are an effective analgesic for acute and chronic pain, but also carry a considerable risk of addiction leading to millions of opioid use disorder (OUD) cases and tens of thousands of premature deaths in the United States yearly.…

Quantitative Methods · Quantitative Biology 2024-03-27 Sybille Légitime , Kaustubh Prabhu , Devin McConnell , Bing Wang , Dipak K. Dey , Derek Aguiar

The global pandemic caused by COVID-19 affects our lives in all aspects. As of September 11, more than 28 million people have tested positive for COVID-19 infection, and more than 911,000 people have lost their lives in this virus battle.…

Machine Learning · Computer Science 2021-11-29 Yuqi Meng , Qiancheng Sun , Suning Hong , Ying Zhao , Zhixiang Li

The opioid epidemic remains a major public health challenge in the United States, requiring a multi-pronged intervention approach to mitigate harms to communities. Given the heterogeneity of the epidemic across the country, it is crucial…

Applications · Statistics 2026-04-13 Abdulrahman A. Ahmed , M. Amin Rahimian , Qiushi Chen , Praveen Kumar

According to the features of drug addiction, this paper constructs an SEIR-based SUC model to describe and predict the spread of drug addiction. Predictions are that the number of drug addictions will continue to fluctuate with reduced…

Populations and Evolution · Quantitative Biology 2020-01-22 Boyue Fang , Yutong Feng

Drug overdose deaths continue to increase in the United States for all major drug categories. Over the past two decades the total number of overdose fatalities has increased more than five-fold; since 2013 the surge in overdose rates is…

Applications · Statistics 2024-02-22 Lucas Böttcher , Tom Chou , Maria R. D'Orsogna

Drug overdose has become a public health crisis in the United States with devastating consequences. However, most of the drug overdose incidences are the consequence of recitative polysubstance usage over a defined period of time which can…

Artificial Intelligence · Computer Science 2022-04-13 Vaishali Mahipal , Mohammad Arif Ul Alam

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan enables early detection of emerging patterns in spatio-temporal data,…

Computers and Society · Computer Science 2017-10-09 Daniel B. Neill , William Herlands