Article Versions Notes

Würstle S, Hapfelmeier A, Karapetyan S, Studen F, Isaakidou A, Schneider T, Schmid RM, von Delius S, Gundling F, Triebelhorn J, et al. 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. Antibiotics. 2022; 11(11):1610. https://doi.org/10.3390/antibiotics11111610

Würstle, Silvia, Alexander Hapfelmeier, Siranush Karapetyan, Fabian Studen, Andriana Isaakidou, Tillman Schneider, Roland M. Schmid, Stefan von Delius, Felix Gundling, Julian Triebelhorn, and et al. 2022. "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" Antibiotics 11, no. 11: 1610. https://doi.org/10.3390/antibiotics11111610