Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/4845
DC FieldValueLanguage
dc.contributor.authorMarkovic, S.en_US
dc.contributor.authorRodić, Anđelaen_US
dc.contributor.authorSalom, I.en_US
dc.contributor.authorMilicevic, O.en_US
dc.contributor.authorĐorđević, M.en_US
dc.contributor.authorĐorđević, Markoen_US
dc.date.accessioned2022-11-02T20:56:29Z-
dc.date.available2022-11-02T20:56:29Z-
dc.date.issued2022-06-30-
dc.identifier.citationMarkovic S, Rodic А, Salom I, Milicevic O, Djordjevic M, Djordjevic M. (2022) Inferring environmental drivers of COVID-19 severity by machine learning. FEMS Conference on Microbiology, 30 June - 2 July 2022, Belgrade, Serbia, Book of Abstracts (p.125), ISBN: 978-86-914897-8-6, Published by: Serbian Society of Microbiology.en_US
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/4845-
dc.descriptionBook of Abstracts (p.125)en_US
dc.language.isoenen_US
dc.publisherSerbian Society of Microbiology.en_US
dc.titleInferring environmental drivers of COVID-19 severity by machine learningen_US
dc.typeConference Paperen_US
dc.relation.conferenceConference on Microbiology, Belgrade, Serbia,en_US
dc.date.updated2023-10-14-
dc.description.rankM34en_US
dc.description.startpage125en_US
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.orcid0000-0001-7506-500X-
crisitem.author.orcid0000-0003-2872-9066-
crisitem.author.orcid0000-0002-2903-3119-
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