Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Tanja Magoc"'
Autor:
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima PourNejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria Lipori, Duane A. Mitchell, Naykky S. Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract There are enormous enthusiasm and concerns in applying large language models (LLMs) to healthcare. Yet current assumptions are based on general-purpose LLMs such as ChatGPT, which are not developed for medical use. This study develops a gene
Externí odkaz:
https://doaj.org/article/ef2ddec4ebcf44af961dc0a1bd072263
Autor:
Urszula A. Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir, Robert J. Lucero
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Prognostic models of hospital-induced delirium, that include potential predisposing and precipitating factors, may be used to identify vulnerable patients and inform the implementation of tailored preventive interventions. It is r
Externí odkaz:
https://doaj.org/article/d7b4395e9f8c430e9423ccf8ba14cac5
Autor:
Laurence M Solberg, Laurie J Duckworth, Elizabeth M Dunn, Theresa Dickinson, Tanja Magoc, Urszula A Snigurska, Sarah E Ser, Brian Celso, Meghan Bailey, Courtney Bowen, Nila Radhakrishnan, Chirag R Patel, Robert Lucero, Ragnhildur I Bjarnadottir
Publikováno v:
JMIR Aging, Vol 6, p e43185 (2023)
BackgroundDelirium, an acute confusional state highlighted by inattention, has been reported to occur in 10% to 50% of patients with COVID-19. People hospitalized with COVID-19 have been noted to present with or develop delirium and neurocognitive di
Externí odkaz:
https://doaj.org/article/62d7b8a1a88d465eb2af1eb06d989254
Autor:
Sarah E Ser, Kristen Shear, Urszula A Snigurska, Mattia Prosperi, Yonghui Wu, Tanja Magoc, Ragnhildur I Bjarnadottir, Robert J Lucero
Publikováno v:
JMIR Research Protocols, Vol 12, p e48521 (2023)
BackgroundHospital-induced delirium is one of the most common and costly iatrogenic conditions, and its incidence is predicted to increase as the population of the United States ages. An academic and clinical interdisciplinary systems approach is nee
Externí odkaz:
https://doaj.org/article/485d2ea02993445caae7995a3aa58ff1
Autor:
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for m
Externí odkaz:
https://doaj.org/article/557f807a3c23460bb1a9275a8e73d09f
Autor:
Ruben D Zapata, Shu Huang, Earl Morris, Chang Wang, Christopher Harle, Tanja Magoc, Mamoun Mardini, Tyler Loftus, François Modave
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292888 (2023)
ObjectiveThis study aimed to develop and validate predictive models using electronic health records (EHR) data to determine whether hospitalized COVID-19-positive patients would be admitted to alternative medical care or discharged home.MethodsWe con
Externí odkaz:
https://doaj.org/article/82f15e63a54a4e4398a17e2cc8b7a121
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Abstract Objective: This study aims to develop a generalizable architecture for enhancing an enterprise data warehouse for research (EDW4R) with results from a natural language processing (NLP) model, which allows discrete data derived from clinical
Externí odkaz:
https://doaj.org/article/9ed28786108e4c198e2a9434b29e2e2f
Publikováno v:
MDM Policy & Practice, Vol 7 (2022)
Objective. The COVID-19 pandemic created an unprecedented strain on the health care system, and administrators had to make many critical decisions to respond appropriately. This study sought to understand how health care administrators used data and
Externí odkaz:
https://doaj.org/article/012934dc59884e939972bd5d441175a0
Publikováno v:
Evolutionary Bioinformatics, Vol 2013, Iss 9, Pp 127-136 (2013)
Externí odkaz:
https://doaj.org/article/829d7822e1f74b648d358acd726092d6
Autor:
Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K Jones, Hemant Gupta, Kristopher Kersten, John L Burns, Christopher A Harle, Tanja Magoc, Benjamin Shickel, Scott D Steenburg, Tyler Loftus, Genevieve B Melton, Judy Wawira Gichoya, Ju Sun, Christopher J Tignanelli
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA. 30(1)
Objective Federated learning (FL) allows multiple distributed data holders to collaboratively learn a shared model without data sharing. However, individual health system data are heterogeneous. “Personalized” FL variations have been developed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b305e0e4c58ceff7af0e3e9b3c725341
https://pubmed.ncbi.nlm.nih.gov/36214629
https://pubmed.ncbi.nlm.nih.gov/36214629