# Using Machine Learning to Optimise the Danish Drowning Formula

> **NCT06310525** · — · ACTIVE_NOT_RECRUITING · sponsor: **Prehospital Center, Region Zealand** · enrollment: 1500 (estimated)

## Conditions studied

- Drowning
- Drowning and Submersion While in Bath-Tub
- Drowning and Submersion While in Natural Water
- Drowning and Submersion While in Swimming-Pool
- Drowning and Submersion Due to Fall Off Ship
- Drowning and Nonfatal Submersion
- Drowning, Near
- Drowning; Asphyxia

## Interventions

- **OTHER:** Drowning incident

## Key facts

- **NCT ID:** NCT06310525
- **Lead sponsor:** Prehospital Center, Region Zealand
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2024-01-01
- **Primary completion:** 2025-12-31
- **Final completion:** 2025-12-31
- **Target enrollment:** 1500 (ESTIMATED)
- **Last updated:** 2025-08-27


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06310525

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06310525, "Using Machine Learning to Optimise the Danish Drowning Formula". Retrieved via AI Analytics 2026-06-23 from https://api.ai-analytics.org/clinical/NCT06310525. Licensed CC0.

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