000 01681 a2200469 4500
005 20250517194217.0
264 0 _c20190621
008 201906s 0 0 eng d
022 _a1941-3084
024 7 _a10.1161/CIRCEP.117.005499
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aKalscheur, Matthew M
245 0 0 _aMachine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.
_h[electronic resource]
260 _bCirculation. Arrhythmia and electrophysiology
_c01 2018
300 _ae005499 p.
_bdigital
500 _aPublication Type: Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, N.I.H., Extramural
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aCardiac Resynchronization Therapy
_xmethods
650 0 4 _aDecision Making
650 0 4 _aDeep Learning
650 0 4 _aFemale
650 0 4 _aHeart Conduction System
_xphysiopathology
650 0 4 _aHeart Failure
_xphysiopathology
650 0 4 _aHumans
650 0 4 _aMachine Learning
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aPredictive Value of Tests
650 0 4 _aStroke Volume
_xphysiology
650 0 4 _aVentricular Function, Left
_xphysiology
700 1 _aKipp, Ryan T
700 1 _aTattersall, Matthew C
700 1 _aMei, Chaoqun
700 1 _aBuhr, Kevin A
700 1 _aDeMets, David L
700 1 _aField, Michael E
700 1 _aEckhardt, Lee L
700 1 _aPage, C David
773 0 _tCirculation. Arrhythmia and electrophysiology
_gvol. 11
_gno. 1
_gp. e005499
856 4 0 _uhttps://doi.org/10.1161/CIRCEP.117.005499
_zAvailable from publisher's website
999 _c27972332
_d27972332