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Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)

NCT06555900 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2024-08-15

No results posted yet for this study

Summary

The investigators wish to build up a database of clinical data and physiological signals with a view to developing a predictive algorithm based on continuous analysis of the intracranial pressure waveform and other parameters commonly used in intensive care to predict the occurrence of an episode of intracranial hypertension (HTIC). This algorithm will be designed using supervised learning statistical methods based on innovative statistical analysis methods (artificial intelligence). These methods are classically used to exploit massive data such as sensor data.

Conditions

  • Creation of a Warehouse of Clinical Data and Physiological Signals at the Patient's Bedside

Sponsors & Collaborators

  • University Hospital, Brest

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-12-17
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06555900 on ClinicalTrials.gov