Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Elizabeth A. Shenkman"'
Autor:
Chengxi Zang, Yu Hou, Edward J. Schenck, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Dhruv Khullar, Anna S. Nordvig, Elizabeth A. Shenkman, Russell L. Rothman, Jason P. Block, Kristin Lyman, Yiye Zhang, Jay Varma, Mark G. Weiner, Thomas W. Carton, Fei Wang, Rainu Kaushal
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract Background SARS-CoV-2-infected patients may develop new conditions in the period after the acute infection. These conditions, the post-acute sequelae of SARS-CoV-2 infection (PASC, or Long COVID), involve a diverse set of organ systems. Limi
Externí odkaz:
https://doaj.org/article/5d9614d744a542fca70c9e2fdb7d5c74
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:
Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Esra Adiyeke, Rubab Islam, Haleh Hashemighouchani, Matthew Ruppert, Shunshun Miao, Tyler Loftus, Crystal Johnson-Mann, R. W. M. A. Madushani, Elizabeth A. Shenkman, William Hogan, Mark S. Segal, Gloria Lipori, Azra Bihorac, Charles Hobson
Publikováno v:
PLoS ONE, Vol 19, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/fe30167666ea460491a2ac30ae36d93e
Autor:
Yi Guo, Jiang Bian, Zhaoyi Chen, Jennifer N. Fishe, Dongyu Zhang, Dejana Braithwaite, Thomas J. George, Elizabeth A. Shenkman, Jonathan D. Licht
Publikováno v:
Cancer Medicine, Vol 12, Iss 10, Pp 11871-11877 (2023)
Abstract Background Prior studies on the association between asthma and cancer show inconsistent results. This study aimed to generate additional evidence on the association between asthma and cancer, both overall, and by cancer type, in the United S
Externí odkaz:
https://doaj.org/article/89bcf12cf4104f6eb7471b00f9f048c8
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Although superficially similar to data from clinical research, data extracted from electronic health records may require fundamentally different approaches for model building and analysis. Because electronic health record data is designed fo
Externí odkaz:
https://doaj.org/article/fa62f6a9560944a5bbe2183f98e78aeb
Autor:
Chengxi Zang, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Edward J. Schenck, Dhruv Khullar, Anna S. Nordvig, Elizabeth A. Shenkman, Russell L. Rothman, Jason P. Block, Kristin Lyman, Mark G. Weiner, Thomas W. Carton, Fei Wang, Rainu Kaushal
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
In this study, the authors characterise post-acute sequelae of SARS-CoV-2 (PASC) in two large cohorts based on electronic health records from the USA. They identify a broad range of PASC-related conditions which were only partially replicated across
Externí odkaz:
https://doaj.org/article/a9085741976a4ea2ab2508dda6b0f2c7
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:
Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
Publikováno v:
Informatics, Vol 11, Iss 1, p 4 (2024)
It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous
Externí odkaz:
https://doaj.org/article/1eae8d8d07a9481facfb8f08ccdda3da
Autor:
Yongkang Zhang, Hui Hu, Vasilios Fokaidis, Colby Lewis V, Jie Xu, Chengxi Zang, Zhenxing Xu, Fei Wang, Michael Koropsak, Jiang Bian, Jaclyn Hall, Russell L. Rothman, Elizabeth A. Shenkman, Wei-Qi Wei, Mark G. Weiner, Thomas W. Carton, Rainu Kaushal
Publikováno v:
Environmental Advances, Vol 11, Iss , Pp 100352- (2023)
Post-acute sequelae of SARS-CoV-2 infection (PASC) affects a wide range of organ systems among a large proportion of patients with SARS-CoV-2 infection. Although studies have identified a broad set of patient-level risk factors for PASC, little is kn
Externí odkaz:
https://doaj.org/article/eb262863e2314adebede667a6f04d6fd
Autor:
Jaclyn M. Hall, Rahma S. Mkuu, Hee Deok Cho, Jennifer N. Woodard, Frederic J. Kaye, Jiang Bian, Elizabeth A. Shenkman, Yi Guo
Publikováno v:
Cancers, Vol 15, Iss 21, p 5226 (2023)
Despite advances in cancer screening, late-stage cancer diagnosis is still a major cause of morbidity and mortality in the United States. In this study, we aim to understand demographic and geographic factors associated with receiving a late-stage di
Externí odkaz:
https://doaj.org/article/346f74238e764b47a2f8727d008254d6