A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.

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Bibliographic Details
Title: A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.
Authors: Hughes JW; Department of Computer Science, Stanford University, Palo Alto, CA, USA. jwhughes@stanford.edu., Tooley J; Department of Medicine, Stanford University, Palo Alto, CA, USA., Torres Soto J; Department of Biomedical Informatics, Stanford University, Palo Alto, CA, USA., Ostropolets A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA., Poterucha T; Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA., Christensen MK; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Yuan N; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Ehlert B; Department of Biomedical Informatics, Stanford University, Palo Alto, CA, USA., Kaur D; Department of Medicine, Stanford University, Palo Alto, CA, USA., Kang G; Department of Medicine, Stanford University, Palo Alto, CA, USA., Rogers A; Department of Medicine, Stanford University, Palo Alto, CA, USA., Narayan S; Department of Medicine, Stanford University, Palo Alto, CA, USA., Elias P; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.; Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA., Ouyang D; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Ashley E; Department of Medicine, Stanford University, Palo Alto, CA, USA., Zou J; Department of Computer Science, Stanford University, Palo Alto, CA, USA.; Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA., Perez MV; Department of Medicine, Stanford University, Palo Alto, CA, USA.
Source: NPJ digital medicine [NPJ Digit Med] 2023 Sep 12; Vol. 6 (1), pp. 169. Date of Electronic Publication: 2023 Sep 12.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-023-00916-6