Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric...
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an artificial neural network using textual (e.g. patient history) and tabular (e.g. laboratory values) data from ED electronic medical reports. The predicted outcomes were 30-day mortality and ICU adm...
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Full title
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
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TN_cdi_doaj_primary_oai_doaj_org_article_9ea0ca475f194916b6778de4ac46a958
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9ea0ca475f194916b6778de4ac46a958
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-37512-3
