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1 Ergebnisse
1
Machine learning algorithm improves the detection of NASH (..:
LITMUS Investigators
;
Lee, Jenny
;
Westphal, Max
...
10.1097/HEP.0000000000000364. , 2024
Link:
http://hdl.handle.net/10138/569203
RT Journal T1
Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH : A development and validation study
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhelsihelda:oai:helda.helsinki.fi:10138_569203&Exemplar=1&LAN=DE A1 LITMUS Investigators A1 Lee, Jenny A1 Westphal, Max A1 Vali, Yasaman A1 Boursier, Jerome A1 Petta, Salvatorre A1 Ostroff, Rachel A1 Alexander, Leigh A1 Chen, Yu A1 Fournier, Celine A1 Geier, Andreas A1 Francque, Sven A1 Wonders, Kristy A1 Tiniakos, Dina A1 Bedossa, Pierre A1 Allison, Mike A1 Papatheodoridis, Georgios A1 Cortez-Pinto, Helena A1 Pais, Raluca A1 Dufour, Jean-Francois A1 Leeming, Diana Julie A1 Harrison, Stephen A1 Cobbold, Jeremy A1 Holleboom, Adriaan G A1 Yki-Järvinen, Hannele A1 Crespo, Javier A1 Ekstedt, Mattias A1 Aithal, Guruprasad P A1 Bugianesi, Elisabetta A1 Romero-Gomez, Manuel A1 Torstenson, Richard A1 Karsdal, Morten A1 Yunis, Carla A1 Schattenberg, Joern M A1 Schuppan, Detlef A1 Ratziu, Vlad A1 Brass, Clifford A1 Duffin, Kevin A1 Zwinderman, Koos A1 Pavlides, Michael A1 Anstee, Quentin M A1 Bossuyt, Patrick M PB John Wiley & Sons Ltd. YR 2024 K1 3121 General medicine K1 internal medicine and other clinical medicine JF 10.1097/HEP.0000000000000364 LK http://hdl.handle.net/10138/569203 DO http://hdl.handle.net/10138/569203 SF ELIB - SuUB Bremen
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