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

Lanot, AntoineAntoineLanotAkesson, AnnaAnnaAkessonNakano, Felipe KenjiFelipe KenjiNakanoVens, CelineCelineVensBjoerk, JonasJonasBjoerkNyman, UlfUlfNymanGrubb, AndersAndersGrubbSundin, Per-OlaPer-OlaSundinEriksen, Bjorn O.Bjorn O.EriksenMelsom, ToralfToralfMelsomRule, Andrew D.Andrew D.RuleBerg, UllaUllaBergLittmann, KarinKarinLittmannasling-Monemi, KajsaKajsaasling-MonemiHansson, MagnusMagnusHanssonLarsson, AndersAndersLarssonCourbebaisse, MarieMarieCourbebaisseDubourg, LaurenceLaurenceDubourgCouzi, LionelLionelCouziGaillard, FrancoisFrancoisGaillardGarrouste, CyrilCyrilGarrousteJacquemont, LolaLolaJacquemontKamar, NassimNassimKamarLegendre, ChristopheChristopheLegendreRostaing, LionelLionelRostaingEbert, NatalieNatalieEbertSchaeffner, ElkeElkeSchaeffnerBoekenkamp, ArendArendBoekenkampMariat, ChristopheChristopheMariatPottel, HansHansPottelDelanaye, PierrePierreDelanaye2025-02-082025-02-082025-JAN 3WOS:001411288100001https://imec-publications.be/handle/20.500.12860/45184Enhancing 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 GFRJournal article10.1186/s12882-025-03972-0WOS:001411288100001CREATININE-BASED EQUATIONKIDNEYMEDLINE:39885391