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. Author manuscript; available in PMC: 2019 Oct 18.
Published in final edited form as: Nat Med. 2019 Mar;25(3):530. doi: 10.1038/s41591-019-0359-9

Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Y Hannun 1,#, Pranav Rajpurkar 2,#, Masoumeh Haghpanahi 3,#, Geoffrey H Tison 4,#, Codie Bourn 5, Mintu P Turakhia 6,7, Andrew Y Ng 8
PMCID: PMC6800127  NIHMSID: NIHMS1053831  PMID: 30679787

In the version of this article originally published, the x axis labels in Fig. 1a were incorrect. The labels originally were ‘Specificity,’ but should have been ‘1 – Specificity.’ Also, the x axis label in Fig. 2b was incorrect. It was originally ‘DNN predicted label,’ but should have been ‘Average cardiologist label.’ The errors have been corrected in the PDF and HTML versions of this article.

Contributor Information

Awni Y. Hannun, Department of Computer Science, Stanford University, Stanford, CA, USA

Pranav Rajpurkar, Department of Computer Science, Stanford University, Stanford, CA, USA.

Masoumeh Haghpanahi, iRhythm Technologies Inc, San Francisco, CA, USA.

Geoffrey H. Tison, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA

Codie Bourn, iRhythm Technologies Inc, San Francisco, CA, USA.

Mintu P. Turakhia, Department of Medicine and Center for Digital Health, Stanford University School of Medicine, Stanford, CA, USA Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.

Andrew Y. Ng, Department of Computer Science, Stanford University, Stanford, CA, USA

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