000 01663 a2200457 4500
005 20250518014829.0
264 0 _c20191220
008 201912s 0 0 eng d
022 _a1527-974X
024 7 _a10.1093/jamia/ocy166
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aAfshar, Majid
245 0 0 _aNatural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
_h[electronic resource]
260 _bJournal of the American Medical Informatics Association : JAMIA
_c03 2019
300 _a254-261 p.
_bdigital
500 _aPublication Type: Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650 0 4 _aAdult
650 0 4 _aAlcoholism
_xcomplications
650 0 4 _aCohort Studies
650 0 4 _aElectronic Health Records
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aMachine Learning
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aNatural Language Processing
650 0 4 _aROC Curve
650 0 4 _aTrauma Centers
650 0 4 _aWounds and Injuries
_xcomplications
700 1 _aPhillips, Andrew
700 1 _aKarnik, Niranjan
700 1 _aMueller, Jeanne
700 1 _aTo, Daniel
700 1 _aGonzalez, Richard
700 1 _aPrice, Ron
700 1 _aCooper, Richard
700 1 _aJoyce, Cara
700 1 _aDligach, Dmitriy
773 0 _tJournal of the American Medical Informatics Association : JAMIA
_gvol. 26
_gno. 3
_gp. 254-261
856 4 0 _uhttps://doi.org/10.1093/jamia/ocy166
_zAvailable from publisher's website
999 _c29213768
_d29213768