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Enhancing Individual Glomerular Filtration Rate Assessment: Can We Trust the Equation? Development and Validation of Machine Learning Models to Assess the Trustworthiness of Estimated GFR Compared to Measured GFR

Antoine Lanot,Anna Akesson, Felipe Kenji Nakano,Celine Vens,Jonas Björk,Ulf Nyman,Anders Grubb, Per-Ola Sundin,Björn O. Eriksen,Toralf Melsom,Andrew D. Rule,Ulla Berg,Karin Littmann,Kajsa Åsling-Monemi,Magnus Hansson,Anders Larsson,Marie Courbebaisse,Laurence Dubourg, Lionel Couzi,Francois Gaillard,Cyril Garrouste,Lola Jacquemont,Nassim Kamar,Christophe Legendre,Lionel Rostaing,Natalie Ebert,Elke Schaeffner,Arend Bökenkamp,Christophe Mariat,Hans Pottel,Pierre Delanaye

BMC Nephrology（2025）

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Key words
Glomerular filtration rate,Chronic kidney disease,Creatinine,Machine learning,Random forest
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