Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score

AIMS: Our aim was to develop a machine learning (ML)-based risk stratification system to predict 1-, 2-, 3-, 4-, and 5-year all-cause mortality from pre-implant parameters of patients undergoing cardiac resynchronization therapy (CRT). METHODS AND RESULTS: Multiple ML models were trained on a retros...

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Detalhes bibliográficos
Publicado no:Eur Heart J
Main Authors: Tokodi, Márton, Schwertner, Walter Richard, Kovács, Attila, Tősér, Zoltán, Staub, Levente, Sárkány, András, Lakatos, Bálint Károly, Behon, Anett, Boros, András Mihály, Perge, Péter, Kutyifa, Valentina, Széplaki, Gábor, Gellér, László, Merkely, Béla, Kosztin, Annamária
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Clinical Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7205468/
https://ncbi.nlm.nih.gov/pubmed/31923316
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/eurheartj/ehz902
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