# Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)

> **NCT05710913** · — · UNKNOWN · sponsor: **Dr. Med Anas Taha** · enrollment: 10000 (estimated)

## Conditions studied

- Body Weight
- Post-Op Complication
- Anastomosis, Leaking
- Hiatal Hernia
- GERD
- Internal Hernia
- Mesenteric Hernia
- Intussusception
- Diabetes Mellitus, Type 2
- Sleep Apnea, Obstructive

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05710913
- **Lead sponsor:** Dr. Med Anas Taha
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-01-05
- **Primary completion:** 2025-12-31
- **Final completion:** 2025-12-31
- **Target enrollment:** 10000 (ESTIMATED)
- **Last updated:** 2023-02-02

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05710913

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05710913, "Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT05710913. Licensed CC0.

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