A Novel Machine Learning-Based Point-Score Model as a Non-Invasive Decision-Making Tool for Identifying Infected Ascites in Patients with Hydropic Decompensated Liver Cirrhosis: A Retrospective Multicentre Study

This study is aimed at assessing the distinctive features of patients with infected ascites and liver cirrhosis and developing a scoring system to allow for the accurate identification of patients not requiring abdominocentesis to rule out infected ascites. A total of 700 episodes of patients with d...

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Detalles Bibliográficos
Autores principales: Würstle, Silvia, Hapfelmeier, Alexander, Karapetyan, Siranush, Studen, Fabian, Isaakidou, Andriana, Schneider, Tillman, Schmid, Roland M., von Delius, Stefan, Gundling, Felix, Triebelhorn, Julian, Burgkart, Rainer, Obermeier, Andreas, Mayr, Ulrich, Heller, Stephan, Rasch, Sebastian, Lahmer, Tobias, Geisler, Fabian, Chan, Benjamin, Turner, Paul E., Rothe, Kathrin, Spinner, Christoph D., Schneider, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686825/
https://www.ncbi.nlm.nih.gov/pubmed/36421254
http://dx.doi.org/10.3390/antibiotics11111610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686825/
https://www.ncbi.nlm.nih.gov/pubmed/36421254
http://dx.doi.org/10.3390/antibiotics11111610

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