Allergic Reaction
Conditions
Keywords
Allergic Reaction, Adverse events, Health database, Natural Language Processing
Brief 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
Interventions
None listed
Sponsors
University Hospital, Strasbourg, France
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
1 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Minors and adults having had an allergic reaction associated with care * Having had an adverse event reported by an anesthetist between January 01, 2009 and June 30, 2020
Exclusion criteria
\- Patient not meeting the inclusion criteria
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Development of a natural language processing approach to establish a classification of adverse events observed during the perioperative period and to facilitate their analysis. | Files analysed retrospectively from January 01, 2009 to June 30, 2020 will be examined] | 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 |
Countries
France
Outcome results
None listed