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A0473: Development of an individual postoperative prediction model for kidney cancer recurrence using machine learning (UroCCR study 120)

Speaker
Mrs. G. (Gaelle) Margue
Authors
Margue G.1, Ferrer L.2, Etchepare G.2, Bensalah K.3, Mejean A.4, Roupret M.5, Doumerc N.6, Ingels A.7, Boissier R.8, Pignot G.9, Parier B.10, Paparel P.11, Waeckel T.12, Bigot P.13, Colin T.2, Bernhard J-C.1
Institutions
1Bordeaux University Hospital, Dept. of Urology, Bordeaux, France, 2Sophia Genetics, Multimodal Research Team, Pessac, France, 3Rennes University Hospital, Dept. of Urology, Rennes, France, 4HEGP-APHP, Dept. of Urology, Paris, France, 5La Pitié APHP, Dept. of Urology, Paris, France, 6Toulouse University Hospital, Dept. of Urology, Toulouse, France, 7Mondor-APHP, Dept. of Urology, Paris, France, 8APHM, Dept. of Urology, Marseille, France, 9IPC, Dept. of Urology, Marseille, France, 10Kremlin-Bicêtre -APHP, Dept. of Urology, Paris, France, 11HCL, Dept. of Urology, Lyon, France, 12Caen University Hospital, Dept. of Urology, Caen, France, 13Angers University Hospital, Dept. of Urology, Angers, France
Event
38th Annual EAU Congress
Date – Time - Location
12 March 2023, 10:45 - 12:15, Pink Area, Coral 2
Session
Abstract Session 25 - Locally advanced kidney cancer
Topic
Renal Tumour, Localised - Follow up, Clinical / Prognosis
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