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 |