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Phenotype clustering of hospitalized high-risk patients with COVID-19-a machine learning approach within the multicentre, multinational PCHF-COVICAV registry
| Naziv: | Phenotype clustering of hospitalized high-risk patients with COVID-19-a machine learning approach within the multicentre, multinational PCHF-COVICAV registry | Autori  : | Sokolski, Mateusz; ...; Loncar, Goran G; ...; Flammer, Andreas J | Godina: | 2024 | Publikacija: | CARDIOLOGY JOURNAL | ISSN: | 1897-5593 Cardiology Journal Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 31 br. 4 str. 512-521 | DOI: | 10.5603/cj.98489 | WoS-ID: | 001314790300002 | Scopus-ID: | 2-s2.0-85202906449 | PMID: | 38832553 | PMCID: | PMC11374323 | URI: | https://enauka.gov.rs/handle/123456789/937044 | Projekat: | University of Zurich | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 22M22 - Međunarodni časopis kategorije M22 |
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