Optimal Single or Combined Parameters for Dyssynergic Defecation on Anorectal Manometry: A Proof-of-Concept Machine Learning Study

Key Points

• Diagnosing dyssynergic defecation (DD) shows over 80% predictive positive value using a combination of parameters.
• The study highlights the effectiveness of parameters RAP and RAG for accurate diagnosis.
• Analysis employs machine learning techniques to determine optimal parameters for assessment.
• Implications indicate potential advancements in diagnostic approaches for chronic constipation disorders.