Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Bruce E. Bray"'
Autor:
Jeremiah R. Brown, Iben M. Ricket, Ruth M. Reeves, Rashmee U. Shah, Christine A. Goodrich, Glen Gobbel, Meagan E. Stabler, Amy M. Perkins, Freneka Minter, Kevin C. Cox, Chad Dorn, Jason Denton, Bruce E. Bray, Ramkiran Gouripeddi, John Higgins, Wendy W. Chapman, Todd MacKenzie, Michael E. Matheny
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 7 (2022)
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk factors using natural language processing (NLP) and machine learning could improve risk prediction
Externí odkaz:
https://doaj.org/article/8eeaa93660b34a4eb7587d857b0b09d8
Autor:
Brian S. Alper, Allen Flynn, Bruce E. Bray, Marisa L. Conte, Christina Eldredge, Sigfried Gold, Robert A. Greenes, Peter Haug, Kim Jacoby, Gunes Koru, James McClay, Marc L. Sainvil, Davide Sottara, Mark Tuttle, Shyam Visweswaran, Robin Ann Yurk
Publikováno v:
Learning Health Systems, Vol 6, Iss 1, Pp n/a-n/a (2022)
Abstract Introduction Computable biomedical knowledge artifacts (CBKs) are digital objects conveying biomedical knowledge in machine‐interpretable structures. As more CBKs are produced and their complexity increases, the value obtained from sharing
Externí odkaz:
https://doaj.org/article/47fdb5b07a0147ea9676aae2a92a09e5
Autor:
Michelle Williams, Bruce E. Bray, Robert A. Greenes, Jamie McCusker, Blackford Middleton, Gerald Perry, Jodyn Platt, Rachel L. Richesson, Joshua C. Rubin, Terrie Wheeler
Publikováno v:
Learning Health Systems, Vol 6, Iss 1, Pp n/a-n/a (2022)
Abstract The exponential growth of biomedical knowledge in computable formats challenges organizations to consider mobilizing artifacts in findable, accessible, interoperable, reusable, and trustable (FAIR+T) ways1. There is a growing need to apply b
Externí odkaz:
https://doaj.org/article/03984f1f776f4b2290315858466fe007
Autor:
Kristina Doing-Harris, Bruce E. Bray, Anne Thackeray, Rashmee U. Shah, Yijun Shao, Yan Cheng, Qing Zeng-Treitler, Jennifer H. Garvin, Charlene Weir
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-16 (2019)
Abstract Background A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older adults, those with a
Externí odkaz:
https://doaj.org/article/0dc9ab3853c04cfa90c4f19044b49532
Autor:
Michelle Williams, Rachel L. Richesson, Bruce E. Bray, Robert A. Greenes, Leslie D. McIntosh, Blackford Middleton, Gerald Perry, Jodyn Platt, Christopher Shaffer
Publikováno v:
Learning Health Systems, Vol 5, Iss 1, Pp n/a-n/a (2021)
Abstract The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms, and programmatic code. There is a growing need to apply this knowledge to impro
Externí odkaz:
https://doaj.org/article/e9647a1aba274c5fa618ac6b06cbac91
Autor:
Megha Kalsy, Natalie Kelly, Stephane M. Meystre, Youngjun Kim, Bruce E. Bray, Dan Bolton, Mary K. Goldstein, Jennifer H. Garvin
Publikováno v:
SAGE Open, Vol 10 (2020)
We sought to evaluate the context of potential implementation of an automated quality measurement system for inpatients with heart failure in the U.S. Department of Veterans Affairs (VA). The research methodology was guided by the Promoting Action on
Externí odkaz:
https://doaj.org/article/136ab37daa16471f8dedb7c2769aeba4
Autor:
Rachel L. Richesson, Bruce E. Bray, Christine Dymek, Robert A. Greenes, Leslie D. McIntosh, Blackford Middleton, Gerald Perry, Jodyn Platt, Christopher Shaffer
Publikováno v:
Learning Health Systems, Vol 4, Iss 2, Pp n/a-n/a (2020)
Abstract The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms and programmatic code. There is a growing need to apply this knowledge to improv
Externí odkaz:
https://doaj.org/article/64edfe6ed70645448387ddb2306e2ac6
Patient needs and preferences for herb-drug-disease interaction alerts: a structured interview study
Autor:
Carrie M. Christensen, Rebecca S. Morris, Seraphine Chepkemoi Kapsandoy, Melissa Archer, Jinqiu Kuang, Laura Shane-McWhorter, Bruce E. Bray, Qing Zeng-Treitler
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 17, Iss 1, Pp 1-8 (2017)
Abstract Background While complementary and alternative medicine (CAM) is commonly used in the United States and elsewhere, and hazardous interactions with prescription drugs can occur, patients do not regularly communicate with physicians about thei
Externí odkaz:
https://doaj.org/article/119a98b9822849159dc33348c167715c
Autor:
Sergiusz Wesołowski, Gordon Lemmon, Edgar J Hernandez, Alex Henrie, Thomas A Miller, Derek Weyhrauch, Michael D Puchalski, Bruce E Bray, Rashmee U Shah, Vikrant G Deshmukh, Rebecca Delaney, H Joseph Yostl, Karen Eilbeck, Martin Tristani-Firouzi, Mark Yandell
Publikováno v:
PLOS Digital Health, Vol 1, Iss 1, p e0000004 (2022)
Understanding the conditionally-dependent clinical variables that drive cardiovascular health outcomes is a major challenge for precision medicine. Here, we deploy a recently developed massively scalable comorbidity discovery method called Poisson Bi
Externí odkaz:
https://doaj.org/article/d574d208e64a4840aedb92e49088da85
Autor:
Eric M. Isselbacher, Ourania Preventza, James Hamilton Black III, John G. Augoustides, Adam W. Beck, Michael A. Bolen, Alan C. Braverman, Bruce E. Bray, Maya M. Brown-Zimmerman, Edward P. Chen, Tyrone J. Collins, Abe DeAnda, Christina L. Fanola, Leonard N. Girardi, Caitlin W. Hicks, Dawn S. Hui, William Schuyler Jones, Vidyasagar Kalahasti, Karen M. Kim, Dianna M. Milewicz, Gustavo S. Oderich, Laura Ogbechie, Susan B. Promes, Elsie Gyang Ross, Marc L. Schermerhorn, Sabrina Singleton Times, Elaine E. Tseng, Grace J. Wang, Y. Joseph Woo
Publikováno v:
Journal of the American College of Cardiology. 80:e223-e393