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A.I. MACHINE LEARNING MODEL RELIABLY PREDICTS SUCCESS OF IN..:
Huynh, D
;
Dale, R
;
Oh, C
.
British Journal of Surgery. 111 (2024) Supplement_5 - p. , 2024
Link:
https://doi.org/10.1093/bjs/znae122.044
RT Journal T1 <Title>A.I. MACHINE LEARNING MODEL RELIABLY PREDICTS SUCCESS OF INGUINAL HERNIA REPAIR TO RESOLVE CHRONIC PELVIC AND GROIN PAIN</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_bjs_znae122.044&Exemplar=1&LAN=DE A1 Huynh, D A1 Dale, R A1 Oh, C A1 Towfigh, S PB Oxford University Press (OUP) YR 2024 SN 0007-1323 SN 1365-2168 JF British Journal of Surgery VO 111 IS Supplement_5 LK http://dx.doi.org/https://doi.org/10.1093/bjs/znae122.044 DO https://doi.org/10.1093/bjs/znae122.044 SF ELIB - SuUB Bremen
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