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Analysis of factors that indicated surgery in 400 patients submitted to a complete diagnostic workup for obstructed defecation syndrome and rectal prolapse using a supervised machine learning algorithm.

Techniques in coloproctology 38918256
BACKGROUND: Patient selection is extremely important in obstructed defecation syndrome (ODS) and rectal prolapse (RP) surgery. This study assessed factors that guided the indications for ODS and RP surgery and their specific role in our decision-maki...
Adult Aged Algorithms Clinical Decision-Making Constipation Defecation Defecography Female Humans Middle Aged Patient Selection Prospective Studies Rectal Prolapse Retrospective Studies Supervised Machine Learning Syndrome
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