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pro vyhledávání: '"Khattar, Saelig"'
Autor:
Fries, Jason A., Steinberg, Ethan, Khattar, Saelig, Fleming, Scott L., Posada, Jose, Callahan, Alison, Shah, Nigam H.
Publikováno v:
Nature Communications 12.1 (2021): 1-11
In the electronic health record, using clinical notes to identify entities such as disorders and their temporality (e.g. the order of an event relative to a time index) can inform many important analyses. However, creating training data for clinical
Externí odkaz:
http://arxiv.org/abs/2008.01972
Autor:
Sala, Frederic, Varma, Paroma, Fries, Jason, Fu, Daniel Y., Sagawa, Shiori, Khattar, Saelig, Ramamoorthy, Ashwini, Xiao, Ke, Fatahalian, Kayvon, Priest, James, Ré, Christopher
Since manually labeling training data is slow and expensive, recent industrial and scientific research efforts have turned to weaker or noisier forms of supervision sources. However, existing weak supervision approaches fail to model multi-resolution
Externí odkaz:
http://arxiv.org/abs/1910.09505
Akademický článek
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Autor:
Fries JA; Center for Biomedical Informatics Research, Stanford University., Steinberg E; Center for Biomedical Informatics Research, Stanford University.; Department of Computer Science, Stanford University., Khattar S; Department of Computer Science, Stanford University., Fleming SL; Center for Biomedical Informatics Research, Stanford University., Posada J; Center for Biomedical Informatics Research, Stanford University., Callahan A; Center for Biomedical Informatics Research, Stanford University., Shah NH; Center for Biomedical Informatics Research, Stanford University.
Publikováno v:
ArXiv [ArXiv] 2020 Aug 05. Date of Electronic Publication: 2020 Aug 05.