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Related papers: Characterizing Allegheny County Opioid Overdoses w…

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In recent years, techniques from Topological Data Analysis (TDA) have proven effective at capturing spatial features of multidimensional data. However, applying TDA to spatiotemporal data remains relatively underexplored. In this work, we…

Applications · Statistics 2025-09-30 Nicholas Bermingham , David White , Nathan Willey

Synthetic opioids are the most common drugs involved in drug-involved overdose mortalities in the U.S. The Center for Disease Control and Prevention reported that in 2018, about 70% of all drug overdose deaths involved opioids and 67% of…

Machine Learning · Computer Science 2024-10-14 Zhiyue Xia , Kathleen Stewart

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

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

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

There were over 70,000 drug overdose deaths in the USA in 2017. Almost half of those involved the use of Opioids such as Heroin. This research supports efforts to combat the Opioid Epidemic by further understanding factors that lead to…

Neural and Evolutionary Computing · Computer Science 2021-03-24 Sean-Kelly Palicki , R. Muhammad Atif Azad

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

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

Drug overdose mortality in the United States exhibits strong geographic heterogeneity and complex temporal evolution, yet most spatiotemporal studies focus on trends and risks without explicitly characterizing the underlying dynamical…

Applications · Statistics 2026-04-02 Dhrubajyoti Ghosh

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

This survey study focuses on public opinion regarding the use of algorithmic decision-making in government sectors, specifically in Allegheny County, Pennsylvania. Algorithms are becoming increasingly prevalent in various public domains,…

Human-Computer Interaction · Computer Science 2023-12-20 Yu-Ru Lin , Beth Schwanke , Rosta Farzan , Bonnie Fan , Motahhare Eslami , Hong Shen , Sarah Fox

Opioid related deaths are increasing dramatically in recent years, and opioid epidemic is worsening in the United States. Combating opioid epidemic becomes a high priority for both the U.S. government and local governments such as New York…

Populations and Evolution · Quantitative Biology 2019-01-14 Xin Chen , Yu Wang , Xiaxia Yu , Elinor Schoenfeld , Mary Saltz , Joel Saltz , Fusheng Wang

County-level estimates of opioid use disorder (OUD) are essential for understanding the influence of local economic and social conditions. They provide policymakers with the granular information needed to identify, target, and implement…

Purpose: Identify and examine the associations between health behaviors and increased risk of adolescent suicide attempts, while controlling for socioeconomic and demographic differences. Design: A data-driven analysis using cross-sectional…

Applications · Statistics 2020-09-10 Zhiyuan Wei , Sayanti Mukherjee

Identifying the causal effects of socioeconomic determinants on population health is of many great interests - from statistical methodology development to public health practitioners and policy developments. The statistical side of the…

Applications · Statistics 2026-04-01 Ranadeep Daw , Hunter Evans , Indrabati Bhattacharya

The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Use Disorder (OUD) can help to make early clinical…

Mental disorders impact the lives of millions of people globally, not only impeding their day-to-day lives but also markedly reducing life expectancy. This paper addresses the persistent challenge of predicting mortality in patients with…

Machine Learning · Computer Science 2023-10-19 Sean Kim , Samuel Kim

Opioid overdose rates have reached an epidemic level and state-level policy innovations have followed suit in an effort to prevent overdose deaths. State-level drug law is a set of policies that may reinforce or undermine each other, and…

Applications · Statistics 2020-10-07 Jarrod Olson , Po-Hsu Allen Chen , Marissa White , Nicole Brennan , Ning Gong

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

We develop an unsupervised probabilistic model for heterogeneous Electronic Health Record (EHR) data. Utilizing a mixture model formulation, our approach directly models sequences of arbitrary length, such as medications and laboratory…

Machine Learning · Computer Science 2022-09-02 Alan D. Kaplan , John D. Greene , Vincent X. Liu , Priyadip Ray