# Using Machine Learning to Model Early-onset Neonatal Sepsis Risk in Uganda and Zimbabwe

> **NCT06411405** · — · UNKNOWN · sponsor: **St George's, University of London** · enrollment: 2500 (estimated)

## Conditions studied

- Neonatal Sepsis

## Interventions

- **OTHER:** Maternal medical history

## Key facts

- **NCT ID:** NCT06411405
- **Lead sponsor:** St George's, University of London
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2024-04-11
- **Primary completion:** 2024-12-31
- **Final completion:** 2025-03-01
- **Target enrollment:** 2500 (ESTIMATED)
- **Last updated:** 2024-05-17

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06411405

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06411405, "Using Machine Learning to Model Early-onset Neonatal Sepsis Risk in Uganda and Zimbabwe". Retrieved via AI Analytics 2026-06-15 from https://api.ai-analytics.org/clinical/NCT06411405. Licensed CC0.

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