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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

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

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

According to the Center of Disease Control (CDC), the Opioid epidemic has claimed more than 72,000 lives in the US in 2017 alone. In spite of various efforts at the local, state and federal level, the impact of the epidemic is becoming…

Computer Vision and Pattern Recognition · Computer Science 2019-06-24 Sandipan Choudhuri , Kaustav Basu , Kevin Thomas , Arunabha Sen

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…

Cardiovascular disease and chronic kidney disease are major complications of diabetes, leading to high morbidity and mortality. Early detection of these conditions is critical, yet traditional diagnostic markers often lack sensitivity in…

Other Quantitative Biology · Quantitative Biology 2025-10-20 Syed Ibad Hasnain

Class imbalance problems widely exist in the medical field and heavily deteriorates performance of clinical predictive models. Most techniques to alleviate the problem rebalance class proportions and they predominantly assume the rebalanced…

Machine Learning · Computer Science 2023-05-11 Yinan Liu , Xinyu Dong , Weimin Lyu , Richard N. Rosenthal , Rachel Wong , Tengfei Ma , Fusheng Wang

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

Prescription opioids relieve moderate-to-severe pain after surgery, but overprescription can lead to misuse and overdose. Understanding factors associated with post-surgical opioid refills is crucial for improving pain management and…

Methodology · Statistics 2025-09-16 Eileen Yang , Donglin Zeng , Mark Bicket , Yi Li

Machine Learning and Artificial Intelligence can be widely used to diagnose chronic diseases so that necessary precautionary treatment can be done in critical time. Diabetes Mellitus which is one of the major diseases can be easily…

Machine Learning · Computer Science 2021-11-22 V. Vakil , S. Pachchigar , C. Chavda , S. Soni

From the past few years, due to advancements in technologies, the sedentary living style in urban areas is at its peak. This results in individuals getting a victim of obesity at an early age. There are various health impacts of obesity…

Machine Learning · Computer Science 2021-08-23 Satvik Garg , Pradyumn Pundir

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

Patient-reported outcomes (PROs) directly collected from cancer patients being treated with radiation therapy play a vital role in assisting clinicians in counseling patients regarding likely toxicities. Precise prediction and evaluation of…

Machine Learning · Computer Science 2024-11-19 Yang Yan , Zhong Chen , Cai Xu , Xinglei Shen , Jay Shiao , John Einck , Ronald C Chen , Hao Gao

Background: Psychedelic drugs facilitate profound changes in consciousness and have potential to provide insights into the nature of human mental processes and their relation to brain physiology. Yet published scientific literature reflects…

Quantitative Methods · Quantitative Biology 2012-06-05 Jeremy R. Coyle , David E. Presti , Matthew J. Baggott

Background: Reliable prediction of clinical progression over time can improve the outcomes of depression. Little work has been done integrating various risk factors for depression, to determine the combinations of factors with the greatest…

Machine Learning · Statistics 2023-07-06 Runa Bhaumik , Jonathan Stange

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

Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only…

Machine Learning · Computer Science 2018-11-30 Thomas Janssoone , Clémence Bic , Dorra Kanoun , Pierre Hornus , Pierre Rinder

The global increase in mental illness requires innovative detection methods for early intervention. Social media provides a valuable platform to identify mental illness through user-generated content. This systematic review examines machine…

Machine Learning · Computer Science 2025-02-18 Yuchen Cao , Jianglai Dai , Zhongyan Wang , Yeyubei Zhang , Xiaorui Shen , Yunchong Liu , Yexin Tian

Regarding the rising number of people suffering from mental health illnesses in today's society, the importance of mental health cannot be overstated. Wearable sensors, which are increasingly widely available, provide a potential way to…

Machine Learning · Computer Science 2023-10-16 Anket Patil , Dhairya Shah , Abhishek Shah , Mokshit Gala

Development of new medications is a very lengthy and costly process. Finding novel indications for existing drugs, or drug repositioning, can serve as a useful strategy to shorten the development cycle. In this study, we present an approach…

Genomics · Quantitative Biology 2017-12-13 Kai Zhao , Hon-Cheong So