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1 Ergebnisse
1
Training/Test set comparison:
Matthew McTeer
;
Douglas Applegate
;
Peter Mesenbrink
...
doi:10.1371/journal.pone.0299487.g002. , 2024
Link:
https://doi.org/10.1371/journal.pone.0299487.g002
RT Journal T1
Training/Test set comparison
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25317100&Exemplar=1&LAN=DE A1 Matthew McTeer A1 Douglas Applegate A1 Peter Mesenbrink A1 Vlad Ratziu A1 Jörn M. Schattenberg A1 Elisabetta Bugianesi A1 Andreas Geier A1 Manuel Romero Gomez A1 Jean-Francois Dufour A1 Mattias Ekstedt A1 Sven Francque A1 Hannele Yki-Jarvinen A1 Michael Allison A1 Luca Valenti A1 Luca Miele A1 Michael Pavlides A1 Jeremy Cobbold A1 Georgios Papatheodoridis A1 Adriaan G. Holleboom A1 Dina Tiniakos A1 Clifford Brass A1 Quentin M. Anstee A1 Paolo Missier YR 2024 K1 Biochemistry K1 Medicine K1 Molecular Biology K1 Biotechnology K1 Cancer K1 Infectious Diseases K1 Virology K1 Mathematical Sciences not elsewhere classified K1 routine clinical appointment K1 readily available information K1 machine learning approaches K1 litmus metacohort derived K1 found predictive performance K1 european nafld registry K1 determine relative importance K1 advanced specialist tests K1 9 &# 8212 K1 variable feature set K1 shapley additive explanations K1 create three combinations K1 cohort size ranging K1 largest masld dataset K1 including classifying individuals K1 predicting masld outcomes K1 derived masld outcomes K1 xlink "> using K1 xlink "> K1 feature combinations K1 procurement including K1 global explanations K1 accuracy ranging K1 masld endpoints K1 usually determined K1 using two K1 sufficiently improve K1 study developed K1 present local K1 predict individuals K1 ordinarily determined K1 invasive biopsies K1 good indicators K1 enhance diagnosis K1 easily extractable K1 blood test K1 algorithm xgboost K1 6673 subjects JF doi:10.1371/journal.pone.0299487.g002 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0299487.g002 DO https://doi.org/10.1371/journal.pone.0299487.g002 SF ELIB - SuUB Bremen
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