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1 Ergebnisse
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Interpretable clinical phenotypes among patients hospitaliz..:
Eric Yamga
;
Louis Mullie
;
Madeleine Durand
...
https://www.frontiersin.org/articles/10.3389/fdgth.2023.1142822/full. , 2023
Link:
https://doi.org/10.3389/fdgth.2023.1142822
RT Journal T1 <Title>Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:c3bf7e5f87ba4c7399de964eb5ef0f30&Exemplar=1&LAN=DE A1 Eric Yamga A1 Louis Mullie A1 Madeleine Durand A1 Alexandre Cadrin-Chenevert A1 An Tang A1 Emmanuel Montagnon A1 Carl Chartrand-Lefebvre A1 Michaël Chassé PB Frontiers Media S.A. YR 2023 K1 unsupervised learning (UL) K1 COVID-19 K1 clinical phenotypes K1 machine learning interpretability K1 data visualization K1 Medicine K1 R K1 Public aspects of medicine K1 RA1-1270 K1 Electronic computers. Computer science K1 QA75.5-76.95 JF https://www.frontiersin.org/articles/10.3389/fdgth.2023.1142822/full LK http://dx.doi.org/https://doi.org/10.3389/fdgth.2023.1142822 DO https://doi.org/10.3389/fdgth.2023.1142822 SF ELIB - SuUB Bremen
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