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Abstract 13245: Neural Network-Derived Electrocardiographic Features Predict Future Cardiovascular Disease and All-Cause Mortality

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Year: 2023
Type: conference-abstract
Source: Circulation
DOI: 10.1161/circ.148.suppl_1.13245
Authors: Arunashis Sau, Antonio Ribeiro, Kathryn A McGurk, Libor Pastika, Nikesh Bajaj, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean Zheng, Anne Britton, Martin J Shipley, Irena Andršová, Tomas Novotny, Ester Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W Waks, Daniel B Kramer, Danilo Mandic, Nicholas S Peters, Declan O'Regan, Marek Malik, James S Ware, Antonio Ribeiro, Fu Siong Ng
Institutions: Imperial College London, Universidade Federal de Minas Gerais, Uppsala University, University College London, Masaryk University, Universidade de São Paulo, Beth Israel Deaconess Medical Center, MRC London Institute of Medical Sciences
Language: English

Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4389956580
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Related to: 10
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