Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mary M. Saltz"'
Autor:
Mary M. Saltz, Xinyu Dong, Jianyuan Deng, Janos Hajagos, Fusheng Wang, Wei Hou, Joel H. Saltz
Publikováno v:
Drugs-Real World Outcomes
BackgroundThe United States is in the midst of an opioid overdose epidemic. We evaluated the temporal trends and risk factors of inpatient opioid overdose. Based on the opioid overdose patterns, we further examined the innate properties underlying le
Autor:
Fusheng Wang, Sina Rashidian, Mary M. Saltz, Jianyuan Deng, Wei Hou, Richard N. Rosenthal, Xinyu Dong, Kayley Abell-Hart, Joel H. Saltz
Publikováno v:
J Am Med Inform Assoc
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
Autor:
Elinor Schoenfeld, Richard N. Rosenthal, George S. Leibowitz, Fusheng Wang, Xin Chen, Wei Hou, Joel H. Saltz, Sina Rashidian, Xia Zhao, Mary M. Saltz, Yu Wang
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Opioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demograp
Autor:
Xinyu Dong, Kayley Abell-Hart, Veena Lingam, Mary M. Saltz, Chao-Wei Tsai, Rajarsi Gupta, Siao Sun, Victor L. Garcia, Richard A. Moffitt, Joel H. Saltz, Sina Rashidian, Joshua D. Miller, Jianyuan Deng, Janos Hajagos, Fusheng Wang
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 12, p e22649 (2020)
JMIR Medical Informatics, Vol 8, Iss 12, p e22649 (2020)
Background Diabetes affects more than 30 million patients across the United States. With such a large disease burden, even a small error in classification can be significant. Currently billing codes, assigned at the time of a medical encounter, are t
Autor:
Joel H. Saltz, Simrat Dhaliwal, I. Chaudhri, Mary M. Saltz, Sandeep K. Mallipattu, Jeanwoo Yoo, Minh Hoai, Richard A. Moffitt, Farah Daccueil, Farrukh M. Koraishy, Raji R. Annadi, O. Bolotova, Janos Hajagos, Erin Taub, Haseena Sahib
Publikováno v:
Kidney & Blood Pressure Research, Pp 1-15 (2020)
Introduction: Acute kidney injury (AKI) is strongly associated with poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19), but data on the association of proteinuria and hematuria are limited to non-US populations. In additi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d7d5b0732553c7c562c6b2cf4add184
https://www.karger.com/Article/FullText/511946
https://www.karger.com/Article/FullText/511946
Autor:
Wei Hou, Sina Rashidian, Yu Wang, Richard N. Rosenthal, Elinor Schoenfeld, Mary M. Saltz, George S. Leibowitz, Joel H. Saltz, Xia Zhao, Fusheng Wang, Xin Chen
IntroductionTo discover trends and patterns of opioid poisoning and the demographic and regional disparities by analyzing large scale patient visits data in New York State (NYS).MethodsDemographic, spatial, temporal and correlation analyses were perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e071528c406230a2c102d559ec6467c5
https://doi.org/10.1101/2020.09.01.20185991
https://doi.org/10.1101/2020.09.01.20185991
Autor:
Kayley Abell-Hart, Xinyu Dong, Richard N. Rosenthal, Fusheng Wang, Wei Hou, Mary M. Saltz, Joel H. Saltz, Sina Rashidian, Jianyuan Deng
Publikováno v:
SSRN Electronic Journal.
Background: The US is experiencing an opioid epidemic, such that opioid overdose is causing more than 100 deaths per day. Identifying patients at high risk of Opioid Overdose (OD) can help to make early clinical interventions to reduce the risk of OD
Autor:
Fusheng Wang, Anurag Dutt, Wei Chang, Mary M. Saltz, Victor L. Garcia, Janos Hajagos, Vishwam Pandya, Richard A. Moffitt, Joel H. Saltz, Sina Rashidian
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030591366
AIME
AIME
Generative adversarial networks (GANs) have been highly successful for generating realistic synthetic data. In healthcare, synthetic data generation can be helpful for producing annotated data and improving data-driven research without worries on dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::385f1bf579ff80fc52c9cbf87da809f4
https://doi.org/10.1007/978-3-030-59137-3_4
https://doi.org/10.1007/978-3-030-59137-3_4
Autor:
Mary M. Saltz, Ashish Sharma, Tammy Diprima, Jonas S. Almeida, Ganesh Iyer, Tianhao Zhao, Tahsin Kurc, Feiqiao Wang, Yi Gao, Alina Jasniewski, Erich Bremer, Joel H. Saltz
Publikováno v:
Cancer Research. 77:e79-e82
Well-curated sets of pathology image features will be critical to clinical studies that aim to evaluate and predict treatment responses. Researchers require information synthesized across multiple biological scales, from the patient to the molecular
Autor:
Sina, Rashidian, Janos, Hajagos, Richard A, Moffitt, Fusheng, Wang, Kimberly M, Noel, Rajarsi R, Gupta, Mathew A, Tharakan, Joel H, Saltz, Mary M, Saltz
Characterization of a patient's clinical phenotype is central to biomedical informatics. ICD codes, assigned to inpatient encounters by coders, is important for population health and cohort discovery when clinical information is limited. While ICD co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::dbac18dbce6f12060f1050baacf78d10
https://europepmc.org/articles/PMC6568065/
https://europepmc.org/articles/PMC6568065/