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10.1161/CIRCEP.121.009871

http://scihub22266oqcxt.onion/10.1161/CIRCEP.121.009871
suck pdf from google scholar
33993719!ä!33993719

suck abstract from ncbi


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pmid33993719      Circ+Arrhythm+Electrophysiol 2021 ; 14 (5): e009871
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  • Impact of ECG Characteristics on the Performance of an Artificial Intelligence Enabled ECG for Predicting Left Ventricular Dysfunction #MMPMID33993719
  • Perez-Downes J; Fitzgerald P; Adedinsewo D; Carter RE; Noseworthy PA; Kusumoto F
  • Circ Arrhythm Electrophysiol 2021[May]; 14 (5): e009871 PMID33993719show ga
  • ä
  • |*Artificial Intelligence[MESH]
  • |*Electrocardiography[MESH]
  • |*Heart Rate[MESH]
  • |*Signal Processing, Computer-Assisted[MESH]
  • |*Ventricular Function, Left[MESH]
  • |Aged[MESH]
  • |Emergency Service, Hospital[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Predictive Value of Tests[MESH]
  • |Prognosis[MESH]
  • |Reproducibility of Results[MESH]
  • |Retrospective Studies[MESH]


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