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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書誌詳細
出版年:Circ Arrhythm Electrophysiol
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
Article
オンライン･アクセス: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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