Temporal phenotyping of paroxysmal atrial fibrillation reveals prognostic circadian subtypes
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
Authors
- Eran Zvuloni (ORCID: https://orcid.org/0000-0002-5633-7927)
- Jonathan Sobel (ORCID: https://orcid.org/0000-0002-5111-4070)
- Izhar Laufer (ORCID: https://orcid.org/0009-0000-6319-3282)
- Ronit Almog (ORCID: https://orcid.org/0000-0002-9190-515X)
- Kenta Tsutsui (ORCID: https://orcid.org/0000-0002-5121-6974)
- Leif Sörnmo (ORCID: https://orcid.org/0000-0001-8524-2292)
- Julien Oster (ORCID: https://orcid.org/0000-0001-6090-0834)
- Joachim A. Behar (ORCID: https://orcid.org/0000-0001-5956-7034)
- Mahmoud Suleiman
- Ilan Green
- Shany Brimer Biton
- Anat R Benaim
Institutions
- Ben-Gurion University of the Negev (IL)
- Inserm (FR)
- Technion – Israel Institute of Technology (IL)
- Lund University (SE)
- Rambam Health Care Campus (IL)
- University Hospital of Geneva (CH)
- Imagerie Adaptative Diagnostique et Interventionnelle (FR)
- Clalit Health Services (IL)
- Teikyo University (JP)
- Université de Lorraine (FR)
Publication Details
- Journal
- Machine Learning Health
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1088/3049-477x/ae375f
- Primary Topic
- Hospital Admissions and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00