Please use this identifier to cite or link to this item:
https://biore.bio.bg.ac.rs/handle/123456789/6875| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Markovic S | en_US |
| dc.contributor.author | Rodic A | en_US |
| dc.contributor.author | Milicevic O | en_US |
| dc.contributor.author | Salom I | en_US |
| dc.contributor.author | Djordjevic M | en_US |
| dc.contributor.author | Djordjevic M | en_US |
| dc.date.accessioned | 2023-12-01T07:50:50Z | - |
| dc.date.available | 2023-12-01T07:50:50Z | - |
| dc.date.issued | 2023-06 | - |
| dc.identifier.uri | https://biore.bio.bg.ac.rs/handle/123456789/6875 | - |
| dc.publisher | Institute of Molecular Genetics and Genetic Engineering, University of Belgrade | en_US |
| dc.title | Machine learning approach in inferring main population-level COVID-19 risk factors | en_US |
| dc.type | Article | en_US |
| dc.relation.conference | Belgrade Bioinformatics Conference - BELBI, June 19 - 23, Belgrade, Serbia | en_US |
| dc.relation.publication | Book of Abstracts | en_US |
| dc.description.rank | M34 | en_US |
| dc.description.startpage | 58 | en_US |
| dc.relation.isbn | 978-86-82679-14-1 | en_US |
| item.cerifentitytype | Publications | - |
| item.openairetype | Article | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.dept | Chair of General Physiology and Biophysics | - |
| crisitem.author.orcid | 0000-0001-7506-500X | - |
| crisitem.author.orcid | 0000-0003-2872-9066 | - |
| crisitem.author.orcid | 0000-0002-2903-3119 | - |
| Appears in Collections: | Conference abstract | |
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