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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Publié dans:Circ Arrhythm Electrophysiol
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: 2020
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Article
Accès en ligne: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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