000 01294 a2200349 4500
005 20250517082315.0
264 0 _c20171128
008 201711s 0 0 eng d
022 _a1527-974X
024 7 _a10.1093/jamia/ocv180
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aFord, Elizabeth
245 0 0 _aExtracting information from the text of electronic medical records to improve case detection: a systematic review.
_h[electronic resource]
260 _bJournal of the American Medical Informatics Association : JAMIA
_c09 2016
300 _a1007-15 p.
_bdigital
500 _aPublication Type: Journal Article; Review; Systematic Review
650 0 4 _aAlgorithms
650 0 4 _aData Mining
650 0 4 _aDiagnosis
650 0 4 _aElectronic Health Records
650 0 4 _aHumans
650 0 4 _aInformation Storage and Retrieval
650 0 4 _aMachine Learning
650 0 4 _aNatural Language Processing
650 0 4 _aSensitivity and Specificity
700 1 _aCarroll, John A
700 1 _aSmith, Helen E
700 1 _aScott, Donia
700 1 _aCassell, Jackie A
773 0 _tJournal of the American Medical Informatics Association : JAMIA
_gvol. 23
_gno. 5
_gp. 1007-15
856 4 0 _uhttps://doi.org/10.1093/jamia/ocv180
_zAvailable from publisher's website
999 _c25766624
_d25766624