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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

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dc.contributor.authorLanot, Antoine
dc.contributor.authorAkesson, Anna
dc.contributor.authorNakano, Felipe Kenji
dc.contributor.authorVens, Celine
dc.contributor.authorBjoerk, Jonas
dc.contributor.authorNyman, Ulf
dc.contributor.authorGrubb, Anders
dc.contributor.authorSundin, Per-Ola
dc.contributor.authorEriksen, Bjorn O.
dc.contributor.authorMelsom, Toralf
dc.contributor.authorRule, Andrew D.
dc.contributor.authorBerg, Ulla
dc.contributor.authorLittmann, Karin
dc.contributor.authorasling-Monemi, Kajsa
dc.contributor.authorHansson, Magnus
dc.contributor.authorLarsson, Anders
dc.contributor.authorCourbebaisse, Marie
dc.contributor.authorDubourg, Laurence
dc.contributor.authorCouzi, Lionel
dc.contributor.authorGaillard, Francois
dc.date.accessioned2025-02-08T22:12:11Z
dc.date.available2025-02-08T22:12:11Z
dc.date.issued2025-JAN 30
dc.description.wosFundingTextThe Assessing Long Term Outcomes in Living Kidney Donors, Chronic Renal Insufficiency Cohort, Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease, Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications.Preventing Early Renal Loss in Diabetes, African American Study of Kidney Disease and Hypertension, and Modified Diet in Renal Disease studies were performed by respective investigators and supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The data from these studies reported here were supplied by the NIDDK Central Repository. This manuscript was not prepared in collaboration with the investigators of the different studies and does not necessarily reflect the opinions or views of these studies, the NIDDK Central Repository, or the NIDDK.
dc.identifier.doi10.1186/s12882-025-03972-0
dc.identifier.pmidMEDLINE:39885391
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45184
dc.publisherBMC
dc.source.issue1
dc.source.journalBMC NEPHROLOGY
dc.source.numberofpages13
dc.source.volume26
dc.subject.keywordsCREATININE-BASED EQUATION
dc.subject.keywordsKIDNEY
dc.title

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

dc.typeJournal article
dspace.entity.typePublication
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