Резултати
еНаука >
Резултати >
Analysis of Clinical Phenotypes through Machine Learning of First-Line H. pylori Treatment in Europe during the Period 2013-2022: Data from the European Registry on H. pylori Management (Hp-EuReg)
| Title: | Analysis of Clinical Phenotypes through Machine Learning of First-Line <i>H. pylori</i> Treatment in Europe during the Period 2013-2022: Data from the European Registry on <i>H. pylori</i> Management (Hp-EuReg) | Authors : | Nyssen, Olga P; ...; Milivojevic, Vladimir |
Issue Date: | 2023 | Publication: | ANTIBIOTICS-BASEL | ISSN: | 2079-6382 Antibiotics-Basel Search Idenfier |
Type: | Article | Collation: | vol. 12 br. 9 str. 1427-1427 | DOI: | 10.3390/antibiotics12091427 | WoS-ID: | 001074506900001 | Scopus-ID: | 2-s2.0-85172216208 | PMID: | 37760723 | PMCID: | PMC10525558 | URI: | https://enauka.gov.rs/handle/123456789/935937 | Project: | We thank the Spanish Association of Gastroenterology (AEG) for providing the e-CRF service free of charge. Spanish Association of Gastroenterology (AEG) |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
Резултати на еНаука су заштићени ауторским правима и сва права су задржана, осим ако није другачије назначено.
: