Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Michael Hogarth"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52499 (2024)
This study explores the potential of using large language models to assist content analysis by conducting a case study to identify adverse events (AEs) in social media posts. The case study compares ChatGPT’s performance with human annotators’ in
Externí odkaz:
https://doaj.org/article/a683d3d588e34e409f8334463ed892c2
Autor:
Kiana Tavakoli, MD, Fritz Gerald P. Kalaw, MD, Sonali Bhanvadia, Michael Hogarth, MD, Sally L. Baxter, MD, MSc
Publikováno v:
Ophthalmology Science, Vol 3, Iss 4, Pp 100337- (2023)
Purpose: Widespread electronic health record adoption has generated a large volume of data and emphasized the need for standardized terminology to describe clinical concepts. Here, we undertook a systematic concept coverage analysis to determine the
Externí odkaz:
https://doaj.org/article/6a50a93937544856b2a66c61e21fa10f
Autor:
Ella T. Lifset, Kemeberly Charles BS, Emilia Farcas PhD, Nadir Weibel PhD, Michael Hogarth MD, Chen Chen MS, Janet G. Johnson MS, Mary Draper MPA, Annie L. Nguyen PhD, MPH, Alison A. Moore MD,MPH
Publikováno v:
Gerontology and Geriatric Medicine, Vol 9 (2023)
The Geriatrics 5Ms: Medications, Mind, Mobility, what Matters most and Multicomplexity is a framework to address the complex needs of older adults. Intelligent Voice Assistants (IVAs) are increasingly popular and have potential to support health-rela
Externí odkaz:
https://doaj.org/article/46ddfbba040f4312a6021be521e9114c
Autor:
Ming Tai-Seale, Rebecca Rosen, Bernice Ruo, Michael Hogarth, Christopher A Longhurst, Lina Lander, Amanda L Walker, Cheryl D Stults, Albert Chan, Kathleen Mazor, Lawrence Garber, Marlene Millen
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 8, p e30431 (2021)
BackgroundPatient–physician communication during clinical encounters is essential to ensure quality of care. Many studies have attempted to improve patient–physician communication. Incorporating patient priorities into agenda setting and medical
Externí odkaz:
https://doaj.org/article/80cd684a13c34312ac889d2c588fe6ea
Publikováno v:
Emerging Infectious Diseases, Vol 26, Iss 9, Pp 2285-2287 (2020)
Screening for latent tuberculosis infection is recommended for foreign-born persons in the United States. We used proxy data from electronic health records to determine that 17.5% of foreign-born outpatients attending the UC San Diego Health clinic (
Externí odkaz:
https://doaj.org/article/36c524727a2744259333bef71eeb936c
Autor:
Akshay Mani, Resmi Ravindran, Soujanya Mannepalli, Daniel Vang, Paul A Luciw, Michael Hogarth, Imran H Khan, Viswanathan V Krishnan
Publikováno v:
PLoS ONE, Vol 10, Iss 1, p e0116262 (2015)
Multiplex methodologies, especially those with high-throughput capabilities generate large volumes of data. Accumulation of such data (e.g., genomics, proteomics, metabolomics etc.) is fast becoming more common and thus requires the development and i
Externí odkaz:
https://doaj.org/article/e1b6c605f3e6409491769b0d45ae3bfb
Autor:
Keisuke Nakagawa, Lama Moukheiber, Leo A. Celi, Malhar Patel, Faisal Mahmood, Dibson Gondim, Michael Hogarth, Richard Levenson
Publikováno v:
Seminars in Diagnostic Pathology. 40:100-108
Autor:
Michael Hogarth, Daniel John, Yuxiang Li, Jessica Wang-Rodriguez, Jaideep Chakladar, Wei Tse Li, Sanjay R. Mehta, Sharad Jain, Weg M. Ongkeko
Publikováno v:
The American journal of the medical sciences, vol 366, iss 2
BackgroundTo evaluate the degree to which clinical comorbidities or combinations of comorbidities are associated with SARS-CoV-2 breakthrough infection.Materials and methodsA breakthrough infection was defined as a positive test at least 14 days afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41469f7629bd0e1f4cd5214cb143473f
https://escholarship.org/uc/item/2dq6v9bf
https://escholarship.org/uc/item/2dq6v9bf
Autor:
Aaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael Hogarth, Shamim Nemati
The deployment of predictive analytic algorithms that can safely and seamlessly integrate into existing healthcare workflows remains a significant challenge. Here, we present a scalable, cloud-based, fault-tolerant platform that is capable of extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8240ccce924d1f35d735346b41819755
https://doi.org/10.1101/2023.04.10.23288373
https://doi.org/10.1101/2023.04.10.23288373
Autor:
Augustin Garcia, Deepa Sheth, Celia P. Kaplan, Neil S. Wenger, Christina Yau, Martin Eklund, Andrea Kaster, Rachael Lancaster, Laura J. van't Veer, Jeffrey A. Tice, Elad Ziv, Diane Heditsian, Yiwey Shieh, Barbara A. Parker, Laura J. Esserman, Alexander D. Borowsky, Andrea Z. LaCroix, Vivian Lee, Hoda Anton-Culver, Susie Brain, Maren T. Scheuner, Allison Stover Fiscalini, Arash Naeim, Robert A. Hiatt, Amie Blanco, Michael Plaza, Michael Hogarth, Lisa Madlensky, Olufunmilayo I. Olopade
Publikováno v:
Breast Cancer Research and Treatment. 189:593-598