Litcius/Paper detail

Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction

Agathe Truchot, Marc Raynaud, Nassim Kamar, Maarten Naesens, Christophe Legendre, Michel Delahousse, Olivier Thaunat, Matthias Büchler, Marta Crespo, Kamilla Linhares, Babak J. Orandi, Enver Akalin, Gervacio Soler Pujol, Hélio Tedesco‐Silva, Gaurav Gupta, Dorry L. Segev, Xavier Jouven, Andrew Bentall, Mark D. Stegall, Carmen Lefaucheur, Olivier Aubert, Alexandre Loupy

2022Kidney International33 citationsDOI

Topics & Concepts

PercentileSupport vector machineQuartileConfidence intervalMedicineCohortGradient boostingMachine learningKidney transplantInternal medicineArtificial intelligenceProportional hazards modelKidney transplantationComputer scienceRandom forestStatisticsTransplantationMathematicsRenal Transplantation Outcomes and TreatmentsRenal and Vascular PathologiesTransplantation: Methods and Outcomes