Predicting outcomes of pelvic exenteration using machine learning.
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DOI: 10.1111/codi.15235
Abstract: Aim We aim to compare machine learning with neural network performance in predicting R0 resection (R0), length of stay > 14 days (LOS), major complication rates at 30 days postoperatively (COMP) and survival greater than… read more here.
Keywords: pelvic exenteration; predicting outcomes; outcomes pelvic; machine ... See more keywords