# Development of Machine Learning Models to Predict Postoperative GERD Symptom Resolution After Laparoscopic Nissen Fundoplication

> **NCT06862037** · — · ACTIVE_NOT_RECRUITING · sponsor: **Korea University Anam Hospital** · enrollment: 112 (actual)

## Conditions studied

- Gastroesophageal Reflux Disease (GERD)
- Gastroesophageal Reflux (GER)

## Interventions

- **PROCEDURE:** Laparoscopic Nissen fundoplication

## Key facts

- **NCT ID:** NCT06862037
- **Lead sponsor:** Korea University Anam Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2017-02-01
- **Primary completion:** 2024-02-28
- **Final completion:** 2025-08-31
- **Target enrollment:** 112 (ACTUAL)
- **Last updated:** 2025-06-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06862037

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06862037, "Development of Machine Learning Models to Predict Postoperative GERD Symptom Resolution After Laparoscopic Nissen Fundoplication". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT06862037. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*