Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-1...
Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study
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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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Medical machine learning frameworks have received much attention in recent years. The recent COVID-19 pandemic was also accompanied by a surge in proposed machine learning algorithms for tasks such as diagnosis and mortality prognosis. Machine learning frameworks can be helpful medical assistants by extracting data patterns that are otherwise hard...
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Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study
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TN_cdi_doaj_primary_oai_doaj_org_article_54dceafe6fea4c4c9a8041a982d4c859
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54dceafe6fea4c4c9a8041a982d4c859
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-29334-0
