Development and External Validation of a Machine Learning Model for Progression of CKD

Thomas W. Ferguson; Pietro Ravani; Manish M. Sood; Alix Clarke; Paul Komenda; Claudio Rigatto; Navdeep Tangri

doi:10.1016/j.ekir.2022.05.004

Abstract

A machine learning model that leverages routinely collected laboratory data can predict eGFR decline or kidney failure with accuracy.

Keywords

MedicineKidney diseaseRenal functionAlbuminuriaReceiver operating characteristicCreatinineConfidence intervalPopulationInternal medicineArea under the curveUrineDemographicsCohortExternal validityUrologyDemographyStatisticsEnvironmental health

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Publication Info

Year: 2022
Type: article
Volume: 7
Issue: 8
Pages: 1772-1781
Citations: 63
Access: Closed

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APA Style

                            
                                
                                    Thomas W. Ferguson, 
                                
                                    Pietro Ravani, 
                                
                                    Manish M. Sood
                                
                                et al.
                            
                            (2022). 
                            Development and External Validation of a Machine Learning Model for Progression of CKD. 
                            Kidney International Reports
                            , 7
                            (8)
                            , 1772-1781.
                            https://doi.org/10.1016/j.ekir.2022.05.004
                        

Identifiers

DOI: 10.1016/j.ekir.2022.05.004