Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines

BACKGROUND: Cardiac resynchronization therapy (CRT) has significant non-response rates. We assessed whether machine learning could predict CRT response beyond current guidelines. METHODS: We analyzed CRT patients from Cleveland Clinic and Johns Hopkins. A training cohort was created from all Johns H...

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Pubblicato in:Circ Arrhythm Electrophysiol
Autori principali: Feeny, Albert K., Rickard, John W., Patel, Divyang, Toro, Saleem, Trulock, Kevin, Park, Carolyn, LaBarbera, Michael, Varma, Niraj, Niebauer, Mark J., Sinha, Sunil, Gorodeski, Eiran Z., Grimm, Richard A., Ji, Xinge, Barnard, John, Madabhushi, Anant, Spragg, David D., Chung, Mina K.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2019
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6588175/
https://ncbi.nlm.nih.gov/pubmed/31216884
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCEP.119.007316
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