Perioperative Hypoxemia in Pediatrics
NCT04723017 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 17000
Last updated 2021-01-25
Summary
The primary aim was to develop and validation of perioperative hypoxemia using clinical big data and deep learning technique in pediatric patients
Conditions
- Hypoxemia
Interventions
- OTHER
-
Retrospective analysis cohort
We analyze pre-existing data base and develop machine-learning-based system that predicts the risk of hypoxemia
- OTHER
-
Prospective validation cohort
We validate our model to predict the risk of hypoxemia to prospective cohort
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Eligibility
- Max Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-01-21
- Primary Completion
- 2021-12-31
- Completion
- 2021-12-31
Countries
- South Korea
Study Locations
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