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.

Silvia Würstle; Alexander Hapfelmeier; Siranush Karapetyan; Fabian Studen; Andriana Isaakidou; Tillman Schneider; Roland M Schmid; Stefan von Delius; Felix Gundling; Julian Triebelhorn; Rainer Burgkart; Andreas Obermeier; Ulrich Mayr; Stephan Heller; Sebastian Rasch; Tobias Lahmer; Fabian Geisler; Benjamin Chan; Paul E Turner; Kathrin Rothe; Christoph D Spinner; Jochen Schneider

doi:10.3390/antibiotics11111610

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.

Silvia Würstle, Alexander Hapfelmeier, Siranush Karapetyan, Fabian Studen, Andriana Isaakidou, Tillman Schneider, Roland M Schmid, Stefan von Delius, Felix Gundling, Julian Triebelhorn, Rainer Burgkart, Andreas Obermeier, Ulrich Mayr, Stephan Heller, Sebastian Rasch, Tobias Lahmer, Fabian Geisler, Benjamin Chan, Paul E Turner, Kathrin RotheChristoph D Spinner, Jochen Schneider

Klinikum Rosenheim

Research output: Contribution to journal › Original Article › peer-review

5 Citations (Web of Science)

Original language	English
Journal	ANTIBIOTICS-BASEL
Volume	11
Issue number	11
DOIs	https://doi.org/10.3390/antibiotics11111610
Publication status	Published - 2022

Keywords

SPONTANEOUS BACTERIAL PERITONITIS
NONSELECTIVE BETA-BLOCKERS
PUMP INHIBITOR USE
HEPATORENAL-SYNDROME
RISK
PARACENTESIS
ASSOCIATION
GUIDELINES
MANAGEMENT

Access to Document

10.3390/antibiotics11111610

Cite this

Würstle, S., Hapfelmeier, A., Karapetyan, S., Studen, F., Isaakidou, A., Schneider, T., Schmid, R. M., von Delius, S., Gundling, F., Triebelhorn, J., Burgkart, R., Obermeier, A., Mayr, U., Heller, S., Rasch, S., Lahmer, T., Geisler, F., Chan, B., Turner, P. E., ... Schneider, J. (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-BASEL, 11(11). https://doi.org/10.3390/antibiotics11111610

@article{5ce41f631bea4add8f0428667ac4ebd1,

title = "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.",

keywords = "SPONTANEOUS BACTERIAL PERITONITIS, NONSELECTIVE BETA-BLOCKERS, PUMP INHIBITOR USE, HEPATORENAL-SYNDROME, RISK, PARACENTESIS, ASSOCIATION, GUIDELINES, MANAGEMENT",

author = "Silvia W{\"u}rstle and Alexander Hapfelmeier and Siranush Karapetyan and Fabian Studen and Andriana Isaakidou and Tillman Schneider and Schmid, {Roland M} and {von Delius}, Stefan and Felix Gundling and Julian Triebelhorn and Rainer Burgkart and Andreas Obermeier and Ulrich Mayr and Stephan Heller and Sebastian Rasch and Tobias Lahmer and Fabian Geisler and Benjamin Chan and Turner, {Paul E} and Kathrin Rothe and Spinner, {Christoph D} and Jochen Schneider",

note = "Lehr-KH Rosenheim: von Delius: Department of Internal Medicine II, RoMed Hospital Rosenheim, 83022 Rosenheim, Germany",

year = "2022",

doi = "10.3390/antibiotics11111610",

language = "English",

volume = "11",

journal = "ANTIBIOTICS-BASEL",

issn = "2079-6382",

publisher = "MDPI",

number = "11",

}

Würstle, S, Hapfelmeier, A, Karapetyan, S, Studen, F, Isaakidou, A, Schneider, T, Schmid, RM, von Delius, S, Gundling, F, Triebelhorn, J, Burgkart, R, Obermeier, A, Mayr, U, Heller, S, Rasch, S, Lahmer, T, Geisler, F, Chan, B, Turner, PE, Rothe, K, Spinner, CD & Schneider, J 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-BASEL, vol. 11, no. 11. https://doi.org/10.3390/antibiotics11111610

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. / Würstle, Silvia; Hapfelmeier, Alexander; Karapetyan, Siranush et al.
In: ANTIBIOTICS-BASEL, Vol. 11, No. 11, 2022.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - 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.

AU - Würstle, Silvia

AU - Hapfelmeier, Alexander

AU - Karapetyan, Siranush

AU - Studen, Fabian

AU - Isaakidou, Andriana

AU - Schneider, Tillman

AU - Schmid, Roland M

AU - von Delius, Stefan

AU - Gundling, Felix

AU - Triebelhorn, Julian

AU - Burgkart, Rainer

AU - Obermeier, Andreas

AU - Mayr, Ulrich

AU - Heller, Stephan

AU - Rasch, Sebastian

AU - Lahmer, Tobias

AU - Geisler, Fabian

AU - Chan, Benjamin

AU - Turner, Paul E

AU - Rothe, Kathrin

AU - Spinner, Christoph D

AU - Schneider, Jochen

N1 - Lehr-KH Rosenheim: von Delius: Department of Internal Medicine II, RoMed Hospital Rosenheim, 83022 Rosenheim, Germany

PY - 2022

Y1 - 2022

KW - SPONTANEOUS BACTERIAL PERITONITIS

KW - NONSELECTIVE BETA-BLOCKERS

KW - PUMP INHIBITOR USE

KW - HEPATORENAL-SYNDROME

KW - RISK

KW - PARACENTESIS

KW - ASSOCIATION

KW - GUIDELINES

KW - MANAGEMENT

U2 - 10.3390/antibiotics11111610

DO - 10.3390/antibiotics11111610

M3 - Original Article

C2 - 36421254

SN - 2079-6382

VL - 11

JO - ANTIBIOTICS-BASEL

JF - ANTIBIOTICS-BASEL

IS - 11

ER -