U.S., March 7 -- ClinicalTrials.gov registry received information related to the study (NCT06862037) titled 'Development of Machine Learning Models to Predict Postoperative GERD Symptom Resolution After Laparoscopic Nissen Fundoplication' on March 02.

Brief Summary: This study aims to develop machine learning models to predict postoperative gastroesophageal reflux symptom resolution after laparoscopic Nissen fundoplication using Elastic Net regression and synthetic minority oversampling technique (SMOTE).

Study Start Date: Feb. 01, 2017

Study Type: OBSERVATIONAL

Condition: Gastroesophageal Reflux Disease (GERD) Gastroesophageal Reflux (GER) Lapaparoscopic Nissen Fundoplication

Intervention: PROCEDURE: Laparoscopic Nissen fundoplicati...