Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records-Reference-Cited by-同舟云学术

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Published:2023-02 Issue:2 Volume:27 Page:1106-1117
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Li Yikuan¹^ORCID,Mamouei Mohammad¹^ORCID,Salimi-Khorshidi Gholamreza¹,Rao Shishir¹^ORCID,Hassaine Abdelaali¹^ORCID,Canoy Dexter¹,Lukasiewicz Thomas²,Rahimi Kazem¹

Affiliation:

1. Deep Medicine, Oxford Martin School, University of Oxford, Oxford, U.K.

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

Funder

British Heart Foundation

UKRI's Global Challenges Research Fund

Oxford NIHR Biomedical Research Centre and the 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/ielx7/6221020/10036335/09964038.pdf?arnumber=9964038

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