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Correction: Machine learning for enhancing the ablation outcomes using recurrence quantification analysis in human persistent atrial fibrillation

Year: 2026

Type: erratum

Abstract: [This corrects the article DOI: 10.3389/fphys.2026.1831826.].

Source: Frontiers in Physiology

DOI: 10.3389/fphys.2026.2009113

Authors: Noor N. Qaqos, Fernando S. Schlindwein, G. André Ng, Xin Li

Institutions: University of Leicester, Duhok Polytechnic University, National Institute for Health and Care Research

Language: English

Topic: Atrial Fibrillation Management and Outcomes

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801

OpenAlex ID: W7216435902

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