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Substance use disorders (SUDs) are a serious public health concern in the United States. Alcohol and cannabis are two of the most widely used substances. For adolescent/youth users of alcohol or cannabis, we propose a joint Bayesian…

Introduction: Substance use disorders (SUDs) have emerged as a pressing public health concern in the United States, with adolescent substance use often leading to SUDs in adulthood. Effective strategies are needed to stem this progression.…

Applications · Statistics 2025-05-29 Tingfang Wang , Joseph M. Boden , Swati Biswas , Pankaj K. Choudhary

Substance use is a global issue that negatively impacts millions of persons who use drugs (PWUDs). In practice, identifying vulnerable PWUDs for efficient allocation of appropriate resources is challenging due to their complex use patterns…

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…

The escalating prevalence of cannabis use, and associated cannabis-use disorder (CUD), poses a significant public health challenge globally. With a notably wide treatment gap, especially among emerging adults (EAs; ages 18-25), addressing…

Artificial Intelligence · Computer Science 2024-06-12 Susobhan Ghosh , Yongyi Guo , Pei-Yao Hung , Lara Coughlin , Erin Bonar , Inbal Nahum-Shani , Maureen Walton , Susan Murphy

This study explored how lifestyle, personal background, and family history contribute to the risk of developing Alcohol Use Disorder (AUD). Survey data from the All of Us Program was utilized to extract information on AUD status, lifestyle,…

Machine Learning · Computer Science 2024-10-25 Chenlan Wang , Gaojian Huang , Yue Luo

Leveraging health administrative data (HAD) datasets for predicting the risk of chronic diseases including diabetes has gained a lot of attention in the machine learning community recently. In this paper, we use the largest health records…

Applications · Statistics 2019-04-09 Mathieu Ravaut , Hamed Sadeghi , Kin Kwan Leung , Maksims Volkovs , Laura C. Rosella

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

Multiple chronic conditions (MCC) are one of the biggest challenges of modern times. The evolution of MCC follows a complex stochastic process that is influenced by a variety of risk factors, ranging from pre-existing conditions to…

Overdose related to prescription opioids have reached an epidemic level in the US, creating an unprecedented national crisis. This has been exacerbated partly due to the lack of tools for physicians to help predict the risk of whether a…

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

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…

Sepsis is a life-threatening and serious global health issue. This study combines knowledge with available hospital data to investigate the potential causes of Sepsis that can be affected by policy decisions. We investigate the underlying…

Machine Learning · Computer Science 2025-02-19 Bruno Petrungaro , Neville K. Kitson , Anthony C. Constantinou

Older adults commonly experience chronic conditions such as pain and sleep disturbances and may consider cannabidiol for symptom management. Safe use requires appropriate dosing, careful titration, and awareness of drug interactions, yet…

Information Retrieval · Computer Science 2026-04-14 Ali Abedi , Charlene H. Chu , Shehroz S. Khan

Wearable sensor systems have demonstrated a great potential for real-time, objective monitoring of physiological health to support behavioral interventions. However, obtaining accurate labels in free-living environments remains difficult…

COMPASS is a longitudinal, prospective cohort study collecting data annually from students attending high school in jurisdictions across Canada. We aimed to discover significant frequent/rare associations of behavioral factors among…

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 Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal healthcare data is critical in addressing many real-world problems…

By 2040, age-related macular degeneration (AMD) will affect approximately 288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-threatening stage, is critical for clinical actions,…

Image and Video Processing · Electrical Eng. & Systems 2020-07-21 Yifan Peng , Tiarnan D. Keenan , Qingyu Chen , Elvira Agrón , Alexis Allot , Wai T. Wong , Emily Y. Chew , Zhiyong Lu

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
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