000 01434 a2200385 4500
005 20250517095048.0
264 0 _c20180809
008 201808s 0 0 eng d
022 _a1558-3597
024 7 _a10.1016/j.jacc.2016.03.511
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aMentz, Robert J
245 0 0 _aAssessment of Administrative Data to Identify Acute Myocardial Infarction in Electronic Health Records.
_h[electronic resource]
260 _bJournal of the American College of Cardiology
_c05 2016
300 _a2441-2442 p.
_bdigital
500 _aPublication Type: Letter; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
650 0 4 _aAlgorithms
650 0 4 _aElectronic Health Records
650 0 4 _aHumans
650 0 4 _aMyocardial Infarction
_xclassification
700 1 _aNewby, L Kristin
700 1 _aNeely, Ben
700 1 _aLucas, Joseph E
700 1 _aPokorney, Sean D
700 1 _aRao, Meena P
700 1 _aJackson, Larry R
700 1 _aGrau-Sepulveda, Maria V
700 1 _aSmerek, Michelle M
700 1 _aBarth, Pamela
700 1 _aNelson, Charlotte L
700 1 _aPencina, Michael J
700 1 _aShah, Bimal R
773 0 _tJournal of the American College of Cardiology
_gvol. 67
_gno. 20
_gp. 2441-2442
856 4 0 _uhttps://doi.org/10.1016/j.jacc.2016.03.511
_zAvailable from publisher's website
999 _c26037944
_d26037944