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PA-362 Towards explainable AI-based decision support in predicting SARS-CoV-2 breakthrough infection...

PA-362 Towards explainable AI-based decision support in predicting SARS-CoV-2 breakthrough infection...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2902980227

PA-362 Towards explainable AI-based decision support in predicting SARS-CoV-2 breakthrough infections in a SSA context

About this item

Full title

PA-362 Towards explainable AI-based decision support in predicting SARS-CoV-2 breakthrough infections in a SSA context

Publisher

London: BMJ Publishing Group Ltd

Journal title

BMJ global health, 2023-12, Vol.8 (Suppl 10), p.A69-A69

Language

English

Formats

Publication information

Publisher

London: BMJ Publishing Group Ltd

More information

Scope and Contents

Contents

BackgroundVaccinated persons are still prone to SARS-CoV-2 breakthrough infection since vaccines do not offer 100% protection. Thus, quick decision-making on identifying high-risk persons prone to COVID-19 breakthrough infection is essential for effective medical care and cost saving. We explore how one can use Explainable Artificial Intelligence (...

Alternative Titles

Full title

PA-362 Towards explainable AI-based decision support in predicting SARS-CoV-2 breakthrough infections in a SSA context

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2902980227

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2902980227

Other Identifiers

E-ISSN

2059-7908

DOI

10.1136/bmjgh-2023-EDC.170

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