Výsledky vyhledávání - "Rosenthal, Richard N"

Akademický článek

Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level

Autor: Xiang, Anthony, Hou, Wei, Rashidian, Sina, Rosenthal, Richard N, Abell-Hart, Kayley, Zhao, Xia, Wang, Fusheng

Publikováno v: JMIR Public Health and Surveillance, Vol 7, Iss 4, p e23426 (2021)

BackgroundOpioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). ObjectiveWe aimed to discov

Externí odkaz: https://doaj.org/article/6b018538848b4bb3bc29d0a9a8648d92

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Akademický článek

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Autor: Yao, Hannah, Rashidian, Sina, Dong, Xinyu, Duanmu, Hongyi, Rosenthal, Richard N, Wang, Fusheng

Publikováno v: Journal of Medical Internet Research, Vol 22, Iss 11, p e15293 (2020)

BackgroundIn recent years, both suicide and overdose rates have been increasing. Many individuals who struggle with opioid use disorder are prone to suicidal ideation; this may often result in overdose. However, these fatal overdoses are difficult to

Externí odkaz: https://doaj.org/article/33aa8b7164c14ad494fb2605f17447cc

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Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction

Autor: Liu, Yinan, Dong, Xinyu, Lyu, Weimin, Rosenthal, Richard N., Wong, Rachel, Ma, Tengfei, Wang, Fusheng

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 proportio

Externí odkaz: http://arxiv.org/abs/2305.05722

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Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning

Autor: Dong, Xinyu, Deng, Jianyuan, Rashidian, Sina, Abell-Hart, Kayley, Hou, Wei, Rosenthal, Richard N, Saltz, Mary, Saltz, Joel, Wang, Fusheng

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 interventions to redu

Externí odkaz: http://arxiv.org/abs/2010.04589

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