Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kevin, Lybarger"'
Autor:
Neha A. Sathe, Su Xian, F. Linzee Mabrey, David R. Crosslin, Sean D. Mooney, Eric D. Morrell, Kevin Lybarger, Meliha Yetisgen, Gail P. Jarvik, Pavan K. Bhatraju, Mark M. Wurfel
Publikováno v:
BMC Pulmonary Medicine, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Evolving ARDS epidemiology and management during COVID-19 have prompted calls to reexamine the construct validity of Berlin criteria, which have been rarely evaluated in real-world data. We developed a Berlin ARDS definition (EHR-
Externí odkaz:
https://doaj.org/article/fa88bb75be1c42fa943455768a04a123
Autor:
Richard D Neal, Fiona M Walter, Morhaf Al Achkar, Monica Zigman Suchsland, Grace Turner, Matthew J Thompson, Larry G Kessler, Farhood Farjah, Caroline A Thompson, Maria G Prado, Margaret A Au, Hannah A Burkhardt, Lesleigh Kowalski, Kari A Stephens, Meliha Yetisgen, Kevin Lybarger, Elizabeth A Sarma
Publikováno v:
BMJ Open, Vol 13, Iss 4 (2023)
Objective Lung cancer is the most common cause of cancer-related death in the USA. While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from el
Externí odkaz:
https://doaj.org/article/afed04c618d6438daa543e9b9b390c8a
Publikováno v:
Journal of Digital Imaging. 36:91-104
Radiology reports contain a diverse and rich set of clinical abnormalities documented by radiologists during their interpretation of the images. Comprehensive semantic representations of radiological findings would enable a wide range of secondary us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7dfaa0c0246ea2a8bcb279c6104ad41
https://doi.org/10.1007/s10278-022-00717-5
https://doi.org/10.1007/s10278-022-00717-5
Autor:
Maria G Prado, Larry G Kessler, Margaret A Au, Hannah A Burkhardt, Monica Zigman Suchsland, Lesleigh Kowalski, Kari A Stephens, Meliha Yetisgen, Fiona M Walter, Richard D Neal, Kevin Lybarger, Caroline A Thompson, Morhaf Al Achkar, Elizabeth A Sarma, Grace Turner, Farhood Farjah, Matthew J Thompson
ObjectiveLung cancer is the most common cause of cancer-related death in the USA. While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from ele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46d8e2356aad51125e64fe583c36907
https://www.repository.cam.ac.uk/handle/1810/349358
https://www.repository.cam.ac.uk/handle/1810/349358
ObjectiveThe n2c2/UW SDOH Challenge explores the extraction of social determinant of health (SDOH) information from clinical notes. The objectives include the advancement of natural language processing (NLP) information extraction techniques for SDOH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d49832d4d62461f4a382a9c551fa582
Autor:
Kevin Lybarger, Nicholas J Dobbins, Ritche Long, Angad Singh, Patrick Wedgeworth, Özlem Uzuner, Meliha Yetisgen
Objective Social determinants of health (SDOH) impact health outcomes and are documented in the electronic health record (EHR) through structured data and unstructured clinical notes. However, clinical notes often contain more comprehensive SDOH info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce22062d0c975fbfad0ec0eaa327f441
http://arxiv.org/abs/2212.07538
http://arxiv.org/abs/2212.07538
Autor:
Justin S. Tauscher, Kevin Lybarger, Xiruo Ding, Ayesha Chander, William J. Hudenko, Trevor Cohen, Dror Ben-Zeev
Publikováno v:
Psychiatric services (Washington, D.C.).
The authors tested whether natural language processing (NLP) methods can detect and classify cognitive distortions in text messages between clinicians and people with serious mental illness as effectively as clinically trained human raters.Text messa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a51e378291eca725c0dcbb79a26e6b
https://pubmed.ncbi.nlm.nih.gov/36164769
https://pubmed.ncbi.nlm.nih.gov/36164769
Publikováno v:
AMIA Annu Symp Proc
Medical imaging is critical to the diagnosis and treatment of numerous medical problems, including many forms of cancer. Medical imaging reports distill the findings and observations of radiologists, creating an unstructured textual representation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::80768e23fb91db804ceb8459123524fd
https://pubmed.ncbi.nlm.nih.gov/35854739
https://pubmed.ncbi.nlm.nih.gov/35854739
Autor:
Maria G. Prado, Larry G. Kessler, Margaret A. Au, Hannah A. Burkhardt, Monica Zigman Suchsland, Lesleigh Kowalski, Kari A. Stephens, Meliha Yetisgen, Fiona M. Walter, Richard D. Neal, Kevin Lybarger, Caroline A. Thompson, Morhaf Al Achkar, Elizabeth A. Sarma, Grace Turner, Farhood Farjah, Matthew Thompson
BackgroundLung cancer is the most common cause of cancer-related death in the United States (US), with most patients diagnosed at later stages (3 or 4). While most patients are diagnosed following symptomatic presentation, no studies have compared sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d623770a9d0ec7ab42bef8b6c3c0d24
https://doi.org/10.1101/2022.06.01.22275657
https://doi.org/10.1101/2022.06.01.22275657
Autor:
Kevin, Lybarger, Linzee, Mabrey, Matthew, Thau, Pavan K, Bhatraju, Mark, Wurfel, Meliha, Yetisgen
Publikováno v:
AMIA Annu Symp Proc
Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19. We explore the automatic identification of ARDS indicators and confo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e92881514261f9c51a4c89244ecf1c09
https://pubmed.ncbi.nlm.nih.gov/35308902
https://pubmed.ncbi.nlm.nih.gov/35308902