An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure-Reference-Cited by-同舟云学术

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure

Published:2022-07 Issue:7 Volume:26 Page:3362-3372
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Rao Shishir¹^ORCID,Li Yikuan¹^ORCID,Ramakrishnan Rema²^ORCID,Hassaine Abdelaali¹^ORCID,Canoy Dexter¹,Cleland John³^ORCID,Lukasiewicz Thomas⁴,Salimi-Khorshidi Gholamreza¹,Rahimi Kazem¹

Affiliation:

1. Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, U.K.

2. National Perinatal Epidemiology Unit, University of Oxford, Oxford, U.K.

3. Robertson Centre for Biostatistics, University of Glasgow, Glasgow, U.K.

4. Department of Computer Science, University of Oxford, Oxford, U.K.

Funder

British Heart Foundation

BHF

National Institute for Health Research

Alan Turing Institute

Engineering and Physical Sciences Research Council

AXA Research Fund

EU TAILOR Grant

UKRI's Global Challenges Research Fund

Oxford NIHR Biomedical Research Centre

Oxford Martin School, University of Oxford

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09706318.pdf?arnumber=9706318

Reference43 articles.

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5. Treatment of acute cough/lower respiratory tract infection by antibiotic class and associated outcomes: a 13 European country observational study in primary care

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