# Machine Learning Platforms to Predict 30-day Mortality After Emergency Laparotomy

> **NCT05828914** · — · UNKNOWN · sponsor: **The University of Hong Kong** · enrollment: 5000 (estimated)

## Conditions studied

- Mortality Rate

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05828914
- **Lead sponsor:** The University of Hong Kong
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-04-28
- **Primary completion:** 2024-07-31
- **Final completion:** 2025-07-31
- **Target enrollment:** 5000 (ESTIMATED)
- **Last updated:** 2023-04-25


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05828914

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05828914, "Machine Learning Platforms to Predict 30-day Mortality After Emergency Laparotomy". Retrieved via AI Analytics 2026-06-30 from https://api.ai-analytics.org/clinical/NCT05828914. Licensed CC0.

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