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Clinical Trial Summary

The interest of health databases in anesthesia is no longer to be demonstrated. The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis: The main objective of the study was to identify what a "naïve" unsupervised model would discover based on Adverse Event (AE) descriptions. Our second goal was to identify apparently unrelated events whose combination could favor the occurrence of an AE

Clinical Trial Description


Study Design

Related Conditions & MeSH terms

NCT number NCT05185479
Study type Observational
Source University Hospital, Strasbourg, France
Contact Paul-Michel MERTES, MD, PhD
Phone 33 3 69 55 04 44
Email [email protected]
Status Recruiting
Start date December 1, 2021
Completion date January 31, 2022

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