Open AccessMP50-14 MINING KIDNEY STONE COMPOSITION FROM MILLIONS OF CLINICAL NOTES WITHIN THE ELECTRONIC HEALTH RECORD
Author(s) -
Ryan S. Hsi,
Daniel Lee,
Cosmin A. Bejan
Publication year - 2018
Publication title -
the journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.402
H-Index - 256
eISSN - 1527-3792
pISSN - 0022-5347
DOI - 10.1016/j.juro.2018.02.1625
Subject(s) - medicine , kidney stone disease , artificial intelligence , composition (language) , annotation , natural language processing , protocol (science) , information retrieval , kidney stones , computer science , surgery , pathology , alternative medicine , linguistics , philosophy
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