Predicting mortality in patients with nonvariceal upper gastrointestinal bleeding using machine-learning.

Ungureanu, Bogdan Silviu; Gheonea, Dan Ionut; Florescu, Dan Nicolae; Iordache, Sevastita; Cazacu, Sergiu Marian; Iovanescu, Vlad Florin; Rogoveanu, Ion; Turcu-Stiolica, Adina

Ungureanu, Bogdan Silviu; Gheonea, Dan Ionut; Florescu, Dan Nicolae; Iordache, Sevastita; Cazacu, Sergiu Marian; Iovanescu, Vlad Florin; Rogoveanu, Ion; Turcu-Stiolica, Adina.

Affiliation

Ungureanu BS; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Gheonea DI; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Florescu DN; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Iordache S; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Cazacu SM; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Iovanescu VF; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Rogoveanu I; Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Turcu-Stiolica A; Department of Pharmacoeconomics, University of Medicine and Pharmacy of Craiova, Craiova, Romania.

Front Med (Lausanne) ; 10: 1134835, 2023.

Article de En | MEDLINE | ID: mdl-36873879

Mots clés

Beylor Bleeding score; Glasgow Blatchford score; Rockall score; UGIB; machine learning

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Med (Lausanne) Année: 2023 Type de document: Article Pays d'affiliation: Roumanie

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