Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Roy Adams"'
Autor:
Roy Adams, Emily E. Haroz, Paul Rebman, Rose Suttle, Luke Grosvenor, Mira Bajaj, Rohan R. Dayal, Dominick Maggio, Chelsea L. Kettering, Novalene Goklish
Publikováno v:
npj Mental Health Research, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract We developed and evaluated an electronic health record (EHR)-based model for suicide risk specific to an American Indian patient population. Using EHR data for all patients over 18 with a visit between 1/1/2017 and 10/2/2021, we developed a
Externí odkaz:
https://doaj.org/article/d4d402c28d3b462dae5e260d582e8826
Autor:
Jill S. Chotiyanonta, Kengo Onda, Milap A. Nowrangi, Xin Li, Xin Xu, Roy Adams, Constantine G. Lyketsos, Peter Zandi, Kenichi Oishi
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Objective: Cholinesterase inhibitors (CEIs) are prescribed for dementia to maintain or improve memory. Selective serotonin reuptake inhibitors (SSRIs) are also prescribed to manage psychiatric symptoms seen in dementia. What proportion of outpatients
Externí odkaz:
https://doaj.org/article/fe603d2ce4aa4f67bc467f04ede3820e
Autor:
Katharine E. Henry, Roy Adams, Cassandra Parent, Hossein Soleimani, Anirudh Sridharan, Lauren Johnson, David N. Hager, Sara E. Cosgrove, Andrew Markowski, Eili Y. Klein, Edward S. Chen, Mustapha O. Saheed, Maureen Henley, Sheila Miranda, Katrina Houston, Robert C. Linton, Anushree R. Ahluwalia, Albert W. Wu, Suchi Saria
Publikováno v:
Nature Medicine. 28:1447-1454
Autor:
Roy Adams, Katharine E. Henry, Anirudh Sridharan, Hossein Soleimani, Andong Zhan, Nishi Rawat, Lauren Johnson, David N. Hager, Sara E. Cosgrove, Andrew Markowski, Eili Y. Klein, Edward S. Chen, Mustapha O. Saheed, Maureen Henley, Sheila Miranda, Katrina Houston, Robert C. Linton, Anushree R. Ahluwalia, Albert W. Wu, Suchi Saria
Publikováno v:
Nature Medicine. 28:1455-1460
Autor:
H Echo Wang, Matthew Landers, Roy Adams, Adarsh Subbaswamy, Hadi Kharrazi, Darrell J Gaskin, Suchi Saria
Publikováno v:
Journal of the American Medical Informatics Association. 29:1323-1333
Objective Health care providers increasingly rely upon predictive algorithms when making important treatment decisions, however, evidence indicates that these tools can lead to inequitable outcomes across racial and socio-economic groups. In this stu
Autor:
Jill S. Chotiyanonta, Kengo Onda, Milap A. Nowrangi, Xin Li, Xin Xu, Roy Adams, Constantine G. Lyketsos, Peter Zandi, Kenichi Oishi
ObjectiveCholinesterase inhibitors (CEI) are prescribed for dementia to maintain or improve memory. Selective serotonin reuptake inhibitors (SSRI) are also recognized as first-line agents for psychiatric symptoms seen in dementia. What proportion of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a99ff7e1385483a445ed5559309c7c74
https://doi.org/10.1101/2022.10.19.22281270
https://doi.org/10.1101/2022.10.19.22281270
Across two recent papers, Henry et al. (Nature Medicine, 2022) and Adams et al. (Nature Medicine, 2022) evaluated a deployed machine learning-based early warning system for sepsis, the Targeted Real-time Early Warning System (TREWS) for sepsis, findi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b639c42440a1368f4c9ef2a3490999
https://doi.org/10.1101/2022.09.13.22279688
https://doi.org/10.1101/2022.09.13.22279688
Autor:
Roy Adams, Paul Rosenberg
Publikováno v:
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 30(8)
Autor:
Katharine E, Henry, Roy, Adams, Cassandra, Parent, Hossein, Soleimani, Anirudh, Sridharan, Lauren, Johnson, David N, Hager, Sara E, Cosgrove, Andrew, Markowski, Eili Y, Klein, Edward S, Chen, Mustapha O, Saheed, Maureen, Henley, Sheila, Miranda, Katrina, Houston, Robert C, Linton, Anushree R, Ahluwalia, Albert W, Wu, Suchi, Saria
Publikováno v:
Nature medicine. 28(7)
Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments at early time points, which is critical for improving sepsis outcomes. In view of the increasing use of such s
Autor:
Roy, Adams, Katharine E, Henry, Anirudh, Sridharan, Hossein, Soleimani, Andong, Zhan, Nishi, Rawat, Lauren, Johnson, David N, Hager, Sara E, Cosgrove, Andrew, Markowski, Eili Y, Klein, Edward S, Chen, Mustapha O, Saheed, Maureen, Henley, Sheila, Miranda, Katrina, Houston, Robert C, Linton, Anushree R, Ahluwalia, Albert W, Wu, Suchi, Saria
Publikováno v:
Nature medicine. 28(7)
Early recognition and treatment of sepsis are linked to improved patient outcomes. Machine learning-based early warning systems may reduce the time to recognition, but few systems have undergone clinical evaluation. In this prospective, multi-site co