# Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage

> **NCT06326385** · — · UNKNOWN · sponsor: **Xiangya Hospital of Central South University** · enrollment: 1800 (estimated)

## Conditions studied

- Intracerebral Hemorrhage
- Sepsis

## Interventions

- **OTHER:** no intervention

## Key facts

- **NCT ID:** NCT06326385
- **Lead sponsor:** Xiangya Hospital of Central South University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2024-03-30
- **Primary completion:** 2024-05-01
- **Final completion:** 2024-05-30
- **Target enrollment:** 1800 (ESTIMATED)
- **Last updated:** 2024-03-25


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06326385

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06326385, "Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT06326385. Licensed CC0.

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