Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods

AIMS: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. METHODS AND RESULTS: In pooled European community cohorts (n = 42 280 individuals), 14 routinely avai...

Descripción completa

Detalles Bibliográficos
Autores principales: Toprak, Betül, Brandt, Stephanie, Brederecke, Jan, Gianfagna, Francesco, Vishram-Nielsen, Julie K K, Ojeda, Francisco M, Costanzo, Simona, Börschel, Christin S, Söderberg, Stefan, Katsoularis, Ioannis, Camen, Stephan, Vartiainen, Erkki, Donati, Maria Benedetta, Kontto, Jukka, Bobak, Martin, Mathiesen, Ellisiv B, Linneberg, Allan, Koenig, Wolfgang, Løchen, Maja-Lisa, Di Castelnuovo, Augusto, Blankenberg, Stefan, de Gaetano, Giovanni, Kuulasmaa, Kari, Salomaa, Veikko, Iacoviello, Licia, Niiranen, Teemu, Zeller, Tanja, Schnabel, Renate B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062370/
https://www.ncbi.nlm.nih.gov/pubmed/36610061
http://dx.doi.org/10.1093/europace/euac260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062370/
https://www.ncbi.nlm.nih.gov/pubmed/36610061
http://dx.doi.org/10.1093/europace/euac260

Ejemplares similares