Trials / Completed
CompletedNCT05185479
Analysis of Adverse Events in Anesthesia Using Artificial Intelligence
Analysis of ADVerse evENTs in Anesthesia Using ARtificial IntelligencE
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 9,559 (actual)
- Sponsor
- University Hospital, Strasbourg, France · Academic / Other
- Sex
- All
- Age
- 1 Year
- Healthy volunteers
- Not accepted
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
Conditions
Timeline
- Start date
- 2020-11-12
- Primary completion
- 2021-10-12
- Completion
- 2021-11-12
- First posted
- 2022-01-11
- Last updated
- 2023-12-12
Locations
1 site across 1 country: France
Source: ClinicalTrials.gov record NCT05185479. Inclusion in this directory is not an endorsement.