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of 4
pro vyhledávání: '"Frank, LeHouillier"'
Autor:
Gillian Franklin, Rachel Stephens, Muhammad Piracha, Shmuel Tiosano, Frank Lehouillier, Ross Koppel, Peter L. Elkin
Publikováno v:
Life, Vol 14, Iss 6, p 652 (2024)
Artificial intelligence models represented in machine learning algorithms are promising tools for risk assessment used to guide clinical and other health care decisions. Machine learning algorithms, however, may house biases that propagate stereotype
Externí odkaz:
https://doaj.org/article/4fbbdc0e62324e41b662a9d5c57cf27c
Autor:
Zackary, Falls, Steven H, Brown, Naveed, Shah, Frank, LeHouillier, Randeep, Badwal, Kendria, Hall, Gillian, Franklin, William H, Kelly, Andrew, Holdaway, Diane, Montella, Linda, Wedemeyer, Sarita, Keni, Eric, Rose, Jonathan R, Nebeker, Peter L, Elkin
Publikováno v:
Studies in health technology and informatics. 294
Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created s
Autor:
Zackary Falls, Steven H. Brown, Naveed Shah, Frank LeHouillier, Randeep Badwal, Kendria Hall, Gillian Franklin, William H. Kelly, Andrew Holdaway, Diane Montella, Linda Wedemeyer, Sarita Keni, Eric Rose, Jonathan R. Nebeker, Peter L. Elkin
Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4337a7c1ccffd3f2eca2cad7a4942995
https://doi.org/10.3233/shti220502
https://doi.org/10.3233/shti220502
Autor:
Melissa P. Resnick, Keith E. Campbell, Peter L. Elkin, Diane Montella, Steven H. Brown, Frank LeHouillier
Publikováno v:
Stud Health Technol Inform
Resnick, M P, Lehouillier, F, Brown, S H, Campbell, K E, Montella, D & Elkin, P L 2021, Automated Modeling of Clinical Narrative with High Definition Natural Language Processing Using Solor and Analysis Normal Form . in J Delgado, A Benis, P de Toledo, P Gallos, M Giacomini, A Martinez-Garcia & D Salvi (eds), Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era : Proceedings of the 2021 EFMI Special Topic Conference . vol. 287, IOS Press, Studies in Health Technology and Informatics, vol. 287, pp. 89-93, 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021, Virtual, Online, Spain, 22/11/2021 . https://doi.org/10.3233/SHTI210822
Resnick, M P, Lehouillier, F, Brown, S H, Campbell, K E, Montella, D & Elkin, P L 2021, Automated Modeling of Clinical Narrative with High Definition Natural Language Processing Using Solor and Analysis Normal Form . in J Delgado, A Benis, P de Toledo, P Gallos, M Giacomini, A Martinez-Garcia & D Salvi (eds), Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era : Proceedings of the 2021 EFMI Special Topic Conference . vol. 287, IOS Press, Studies in Health Technology and Informatics, vol. 287, pp. 89-93, 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021, Virtual, Online, Spain, 22/11/2021 . https://doi.org/10.3233/SHTI210822
Objective: One important concept in informatics is data which meets the principles of Findability, Accessibility, Interoperability and Reusability (FAIR). Standards, such as terminologies (findability), assist with important tasks like interoperabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::065892036d2c569962d81c8bff2baf80
https://europepmc.org/articles/PMC9088023/
https://europepmc.org/articles/PMC9088023/