Temporal phenotyping of paroxysmal atrial fibrillation reveals prognostic circadian subtypes

Machine Learning Health 2026 Open access

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Authors: Shany Brimer Biton, Jonathan Sobel, Anat Reiner Benaim, Eran Zvuloni, Ronit Almog, Julien Oster, Izhar Laufer, Ilan Green, Mahmoud A. Suleiman, Kenta Tsutsui, Leif Sörnmo, Joachim A. Behar
DOI: 10.1088/3049-477x/ae375f
Cited by: 0
References: 42

Abstract

Temporal phenotyping of paroxysmal atrial fibrillation reveals prognostic circadian subtypes, Brimer Biton, Shany, Sobel, Jonathan, Reiner Benaim, Anat, Zvuloni, Eran, Almog, Ronit, Oster, Julien, Laufer, Izhar, Green, Ilan, Suleiman, Mahmoud, Tsutsui, Kenta, Sörnmo, Leif, Behar, Joachim A

Fields of Study & Subjects

Atrial Fibrillation Management and Outcomes Cardiac electrophysiology and arrhythmias ECG Monitoring and Analysis

Publication details

Journal / source
Machine Learning Health
Volume
2
Issue
1
Pages
015009–015009
Publication date
13 January 2026
Language
EN