A deep learning phenome wide association study of the electrocardiogram.
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| Title: | A deep learning phenome wide association study of the electrocardiogram. |
|---|---|
| Authors: | Hughes JW; Department of Computer Science, Stanford University, 353 Jane Stanford Way, Stanford, CA 94305, USA., Theurer J; Department of Cardiology, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA., Vukadinovic M; Department of Cardiology, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA.; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA., Rogers AJ; Department of Medicine, Stanford University, Stanford, CA, USA., Somani S; Department of Medicine, Stanford University, Stanford, CA, USA., Kang G; Department of Medicine, Stanford University, Stanford, CA, USA., Ghazizadeh Z; Department of Medicine, Stanford University, Stanford, CA, USA., O'Sullivan JW; Department of Medicine, Stanford University, Stanford, CA, USA., Jain SS; Department of Medicine, Stanford University, Stanford, CA, USA., Gomes B; Department of Medicine, Stanford University, Stanford, CA, USA., Salerno M; Department of Medicine, Stanford University, Stanford, CA, USA., Ashley E; Department of Medicine, Stanford University, Stanford, CA, USA., Zou JY; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Perez MV; Department of Medicine, Stanford University, Stanford, CA, USA., Ouyang D; Department of Cardiology, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA. |
| Source: | European heart journal. Digital health [Eur Heart J Digit Health] 2025 May 08; Vol. 6 (4), pp. 595-607. Date of Electronic Publication: 2025 May 08 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101778323 Publication Model: eCollection Cited Medium: Internet ISSN: 2634-3916 (Electronic) Linking ISSN: 26343916 NLM ISO Abbreviation: Eur Heart J Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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