Comparative evaluation of standard machine learning models for liver fibrosis detection

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SEEK ID: https://publications.h-its.org/publications/1988

DOI: 10.1055/s-0044-1801023

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: Zeitschrift für Gastroenterologie

Citation: Z Gastroenterol 63(01):e13-e13

Date Published: 10th Jan 2025

Registered Mode: by DOI

Authors: Marcus Buchwald, Pascal Memmesheimer, Arash Dooghaie Moghadam, Ines Tuschner, Laura Santamaria Suarez, Timo Itzel, Christoph Antoni, Jimmy Daza, Catharina Gerhards, Michael Neumaier, Christop Brochhausen, Peter R. Galle, Matthias Ebert, Arndt Weinmann, Jürgen Hesser, Vincent Heuveline, Andreas Teufel

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Marcus Buchwald

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Buchwald, M., Memmesheimer, P., Moghadam, A. D., Tuschner, I., Suarez, L. S., Itzel, T., Antoni, C., Daza, J., Gerhards, C., Neumaier, M., Brochhausen, C., Galle, P. R., Ebert, M., Weinmann, A., Hesser, J., Heuveline, V., & Teufel, A. (2025). Comparative evaluation of standard machine learning models for liver fibrosis detection. In Zeitschrift für Gastroenterologie (Vol. 63, Issue 01, pp. e13–e13). Georg Thieme Verlag KG. https://doi.org/10.1055/s-0044-1801023

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Created: 30th Jan 2025 at 11:10

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Comparative evaluation of standard machine learning models for liver fibrosis detection

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