Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients
Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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South Africa was the most affected country in Africa by the coronavirus disease 2019 (COVID-19) pandemic, where over 4 million confirmed cases of COVID-19 and over 102,000 deaths have been recorded since 2019. Aside from clinical methods, artificial intelligence (AI)-based solutions such as machine learning (ML) models have been employed in treatin...
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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients
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TN_cdi_doaj_primary_oai_doaj_org_article_491af48889af4249b3345bdc0698c4a7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_491af48889af4249b3345bdc0698c4a7
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-46712-w
