Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Dina Sarro"'
Autor:
Faraz Yashar, Dina Sarro, Mike Revoir, Joseph Futoma, Michael Gao, Sahil Sandhu, Christelle Tan, Corinne Miller, Cara O'Brien, Katherine Heller, Nathan Brajer, R. Donohoe, William Ratliff, Eric G. Poon, Kristin M. Corey, Armando Bedoya, Marshall Nichols, Tres Brown, Kelly Kester, Madeleine Clare Elish, Kevin J. Anstrom, Anthony Lin, Jason Theiling, Elizabeth Alderton, Suresh Balu, Susan Engelbosch, Mark Sendak
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 7, p e15182 (2020)
JMIR Medical Informatics, Vol 8, Iss 7, p e15182 (2020)
Background Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature. Objective This study aims to report a quality improvement effort to integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d772fd2fd72a7f492131f285f0079b
http://europepmc.org/articles/PMC7391165
http://europepmc.org/articles/PMC7391165
Autor:
Mark P Sendak, William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, Mike Revoir, Faraz Yashar, Corinne Miller, Kelly Kester, Sahil Sandhu, Kristin Corey, Nathan Brajer, Christelle Tan, Anthony Lin, Tres Brown, Susan Engelbosch, Kevin Anstrom, Madeleine Clare Elish, Katherine Heller, Rebecca Donohoe, Jason Theiling, Eric Poon, Suresh Balu, Armando Bedoya, Cara O'Brien
BACKGROUND Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature. OBJECTIVE This study aims to report a quality improvement effort to integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83aa795acfffa868cb69ac7094af00a9
https://doi.org/10.2196/preprints.15182
https://doi.org/10.2196/preprints.15182
