Machine Learning of 12-lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients with Differential Outcomes

BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant non-response rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch block (LBBB). We explored unsupervised machine lea...

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Detalhes bibliográficos
Publicado no:Circ Arrhythm Electrophysiol
Main Authors: Feeny, Albert K., Rickard, John, Trulock, Kevin M., Patel, Divyang, Toro, Saleem, Moennich, Laurie Ann, Varma, Niraj, Niebauer, Mark J., Gorodeski, Eiran Z., Grimm, Richard A., Barnard, John, Madabhushi, Anant, Chung, Mina K.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7901121/
https://ncbi.nlm.nih.gov/pubmed/32538136
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCEP.119.008210
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