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Privacy-aware early detection of COVID-19 through adversarial training

Abstract:

Early detection of COVID-19 is an ongoing area of research that can help with triage, monitoring and general health assessment of potential patients and may reduce operational strain on hospitals that cope with the coronavirus pandemic. Different machine learning techniques have been used in the literature to detect potential cases of coronavirus using routine clinical data (blood tests, and vital signs measurements). Data breaches and information leakage when using these models can bring rep...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/JBHI.2022.3230663

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-8771-8386
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
ORCID:
0000-0003-2391-5361
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE
Journal:
IEEE Journal of Biomedical and Health Informatics More from this journal
Volume:
27
Issue:
3
Pages:
1249-1258
Publication date:
2022-12-20
Acceptance date:
2022-12-12
DOI:
EISSN:
2168-2208
ISSN:
2168-2194
Language:
English
Keywords:
Pubs id:
1315403
Local pid:
pubs:1315403
Deposit date:
2022-12-17

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