Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

Nakano, Felipe KenjiFelipe KenjiNakanoAkesson, AnnaAnnaAkessonde Boer, JasperJasperde BoerDedja, KlestKlestDedjaD'hondt, RobbeRobbeD'hondtFatemi, NaghmehNaghmehFatemiBjork, JonasJonasBjorkCourbebaisse, MarieMarieCourbebaisseCouzi, LionelLionelCouziEbert, NatalieNatalieEbertEriksen, Bjorn O.Bjorn O.EriksenDalton, R. NeilR. NeilDaltonDerain-Dubourg, LaurenceLaurenceDerain-DubourgGaillard, FrancoisFrancoisGaillardGarrouste, CyrilCyrilGarrousteGrubb, AndersAndersGrubbJacquemont, LolaLolaJacquemontHansson, MagnusMagnusHanssonKamar, NassimNassimKamarLegendre, ChristopheChristopheLegendreLittmann, KarinKarinLittmannMariat, ChristopheChristopheMariatMelsom, ToralfToralfMelsomRostaing, LionelLionelRostaingRule, Andrew D.Andrew D.RuleSchaeffner, ElkeElkeSchaeffnerSundin, Per-OlaPer-OlaSundinBokenkamp, ArendArendBokenkampBerg, UllaUllaBergAsling-Monemi, KajsaKajsaAsling-MonemiSelistre, LucianoLucianoSelistreLarsson, AndersAndersLarssonNyman, UlfUlfNymanLanot, AntoineAntoineLanotPottel, HansHansPottelDelanaye, PierrePierreDelanayeVens, CelineCelineVens2025-01-152024-11-122025-01-1520242045-2322WOS:001346701000006https://imec-publications.be/handle/20.500.12860/44771Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration RateJournal article10.1038/s41598-024-77618-wWOS:001346701000006MEDLINE:39487227