Zobrazeno 1 - 4
of 4
pro vyhledávání: '"for MIT Critical Data"'
Autor:
Leo Anthony Celi, Jacqueline Cellini, Marie-Laure Charpignon, Edward Christopher Dee, Franck Dernoncourt, Rene Eber, William Greig Mitchell, Lama Moukheiber, Julian Schirmer, Julia Situ, Joseph Paguio, Joel Park, Judy Gichoya Wawira, Seth Yao, for MIT Critical Data
Publikováno v:
PLOS Digital Health, Vol 1, Iss 3, p e0000022 (2022)
BackgroundWhile artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on relatively homogeneous datasets, and populations poorly-representative of underlying diversity, lim
Externí odkaz:
https://doaj.org/article/76b4d2b3d6a34ad8adad2334ae643a4d
Autor:
Mit Critical Data
Publikováno v:
Secondary Analysis of Electronic Health Records ISBN: 9783319437408
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b84919693a2af619bcf820eb080905
https://doi.org/10.1007/978-3-319-43742-2_30
https://doi.org/10.1007/978-3-319-43742-2_30
Autor:
MIT Critical Data
Publikováno v:
Secondary Analysis of Electronic Health Records; 2016, pi-xxi, 21p
Publikováno v:
Secondary Analysis of Electronic Health Records ISBN: 9783319437408
In this chapter, the reader will gain knowledge and practical skills about preparing raw clinical data for secondary statistical analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54690a895ebb2d06d0717a9af60035d0
http://hdl.handle.net/10281/285190
http://hdl.handle.net/10281/285190