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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

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05185479
Study type Observational
Source University Hospital, Strasbourg, France
Contact
Status Completed
Phase
Start date November 12, 2020
Completion date November 12, 2021

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