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...