Condition: Creation of a Warehouse of Clinical Data and Physiological Signals at the Patient's Bedside · Sponsor: University Hospital, Brest
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.
This description comes directly from the study's public registry record.
Olivier HUET · 0298347288 · olivier.huet@chu-brest.fr
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| CHU de Brest | Brest, France | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06555900