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)

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)

The segmentation of patients into homogeneous groups could help to improve eradication therapy effectiveness. Our aim was to determine the most important treatment strategies used in Europe, to evaluate first-line treatment effectiveness according to year and country. <i>Data collection</i&...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Olga P. Nyssen, Pietro Pratesi, Miguel A. Spínola, Laimas Jonaitis, Ángeles Pérez-Aísa, Dino Vaira, Ilaria Maria Saracino, Matteo Pavoni, Giulia Fiorini, Bojan Tepes, Dmitry S. Bordin, Irina Voynovan, Ángel Lanas, Samuel J. Martínez-Domínguez, Enrique Alfaro, Luis Bujanda, Manuel Pabón-Carrasco, Luis Hernández, Antonio Gasbarrini, Juozas Kupcinskas, Frode Lerang, Sinead M. Smith, Oleksiy Gridnyev, Mārcis Leja, Theodore Rokkas, Ricardo Marcos-Pinto, Antonio Meštrović, Wojciech Marlicz, Vladimir Milivojevic, Halis Simsek, Lumir Kunovsky, Veronika Papp, Perminder S. Phull, Marino Venerito, Lyudmila Boyanova, Doron Boltin, Yaron Niv, Tamara Matysiak-Budnik, Michael Doulberis, Daniela Dobru, Vincent Lamy, Lisette G. Capelle, Emilija Nikolovska Trpchevska, Leticia Moreira, Anna Cano-Català, Pablo Parra, Francis Mégraud, Colm O’Morain, Guillermo J. Ortega, Javier P. Gisbert, on behalf of the Hp-EuReg Investigators
Format: Artykuł
Język:English
Wydane: MDPI AG 2023-09-01
Seria:Antibiotics
Hasła przedmiotowe:
<i>Helicobacter pylori</i>
clustering
phenotyping
machine learning
treatment
eradication
Dostęp online:https://www.mdpi.com/2079-6382/12/9/1427

Internet

https://www.mdpi.com/2079-6382/12/9/1427

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