000 01543 a2200433 4500
005 20250518084839.0
264 0 _c20200819
008 202008s 0 0 eng d
022 _a1941-3084
024 7 _a10.1161/CIRCEP.119.007988
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aNoseworthy, Peter A
245 0 0 _aAssessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.
_h[electronic resource]
260 _bCirculation. Arrhythmia and electrophysiology
_c03 2020
300 _ae007988 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural
650 0 4 _aArtificial Intelligence
650 0 4 _aDeep Learning
650 0 4 _aElectrocardiography
_xmethods
650 0 4 _aEthnicity
650 0 4 _aFemale
650 0 4 _aFollow-Up Studies
650 0 4 _aHeart Ventricles
_xphysiopathology
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aRacial Groups
650 0 4 _aRetrospective Studies
650 0 4 _aVentricular Function, Left
_xphysiology
700 1 _aAttia, Zachi I
700 1 _aBrewer, LaPrincess C
700 1 _aHayes, Sharonne N
700 1 _aYao, Xiaoxi
700 1 _aKapa, Suraj
700 1 _aFriedman, Paul A
700 1 _aLopez-Jimenez, Francisco
773 0 _tCirculation. Arrhythmia and electrophysiology
_gvol. 13
_gno. 3
_gp. e007988
856 4 0 _uhttps://doi.org/10.1161/CIRCEP.119.007988
_zAvailable from publisher's website
999 _c30641298
_d30641298