000 01758 a2200529 4500
005 20250518024954.0
264 0 _c20200819
008 202008s 0 0 eng d
022 _a1540-8167
024 7 _a10.1111/jce.13889
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aAttia, Zachi I
245 0 0 _aProspective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.
_h[electronic resource]
260 _bJournal of cardiovascular electrophysiology
_c05 2019
300 _a668-674 p.
_bdigital
500 _aPublication Type: Journal Article; Validation Study
650 0 4 _aAged
650 0 4 _aAged, 80 and over
650 0 4 _aDeep Learning
650 0 4 _aDiagnosis, Computer-Assisted
650 0 4 _aEchocardiography
650 0 4 _aElectrocardiography
650 0 4 _aFemale
650 0 4 _aHeart Rate
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aPredictive Value of Tests
650 0 4 _aPrognosis
650 0 4 _aProspective Studies
650 0 4 _aReproducibility of Results
650 0 4 _aSignal Processing, Computer-Assisted
650 0 4 _aStroke Volume
650 0 4 _aVentricular Dysfunction, Left
_xdiagnosis
650 0 4 _aVentricular Function, Left
700 1 _aKapa, Suraj
700 1 _aYao, Xiaoxi
700 1 _aLopez-Jimenez, Francisco
700 1 _aMohan, Tarun L
700 1 _aPellikka, Patricia A
700 1 _aCarter, Rickey E
700 1 _aShah, Nilay D
700 1 _aFriedman, Paul A
700 1 _aNoseworthy, Peter A
773 0 _tJournal of cardiovascular electrophysiology
_gvol. 30
_gno. 5
_gp. 668-674
856 4 0 _uhttps://doi.org/10.1111/jce.13889
_zAvailable from publisher's website
999 _c29428274
_d29428274