Machine Learning-Predicted Progression to Permanent Atrial Fibrillation After Catheter Ablation

INTRODUCTION: We developed a prediction model for atrial fibrillation (AF) progression and tested whether machine learning (ML) could reproduce the prediction power in an independent cohort using pre-procedural non-invasive variables alone. METHODS: Cohort 1 included 1,214 patients and cohort 2, 658...

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Detalles Bibliográficos
Autores principales: Park, Je-Wook, Kwon, Oh-Seok, Shim, Jaemin, Hwang, Inseok, Kim, Yun Gi, Yu, Hee Tae, Kim, Tae-Hoon, Uhm, Jae-Sun, Kim, Jong-Youn, Choi, Jong Il, Joung, Boyoung, Lee, Moon-Hyoung, Kim, Young-Hoon, Pak, Hui-Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890475/
https://www.ncbi.nlm.nih.gov/pubmed/35252393
http://dx.doi.org/10.3389/fcvm.2022.813914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890475/
https://www.ncbi.nlm.nih.gov/pubmed/35252393
http://dx.doi.org/10.3389/fcvm.2022.813914

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