Postoperative atrial fibrillation: Prediction of subsequent recurrences with clinical risk modeling and artificial intelligence electrocardiography.
Resource Type
Academic Journal
Authors
Chamberlain AM; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.; Bergeron NP; Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.; Al-Abcha AK; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Weston SA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.; Jiang R; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.; Attia ZI; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Friedman PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Gersh BJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Noseworthy PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.; Siontis KC; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Source
Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101771268 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-6936 (Electronic) Linking ISSN: 26666936 NLM ISO Abbreviation: Cardiovasc Digit Health J Subsets: PubMed not MEDLINE