# Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment

> **NCT03752489** · PHASE2 · UNKNOWN · sponsor: **Dascena** · enrollment: 51645 (estimated)

## Conditions studied

- Sepsis
- Severe Sepsis
- Septic Shock

## Interventions

- **DIAGNOSTIC_TEST:** Treatment-specific InSight
- **DIAGNOSTIC_TEST:** InSight

## Key facts

- **NCT ID:** NCT03752489
- **Lead sponsor:** Dascena
- **Sponsor class:** INDUSTRY
- **Phase:** PHASE2
- **Study type:** INTERVENTIONAL
- **Status:** UNKNOWN
- **Start date:** 2022-04-01
- **Primary completion:** 2024-03-31
- **Final completion:** 2024-03-31
- **Target enrollment:** 51645 (ESTIMATED)
- **Last updated:** 2021-09-23


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT03752489

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT03752489, "Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT03752489. Licensed CC0.

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