Status:
COMPLETED
Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia
Lead Sponsor:
HUmani
Conditions:
Anesthesia Complication
Surgery-Complications
Eligibility:
All Genders
Brief Summary
Unexpected hospital admissions after ambulatory surgery not only bring discomfort to patients but also causes a decrease in the efficiency of the healthcare system. In addition, unanticipated patient'...
Eligibility Criteria
Inclusion
- Patient undergoing anesthesia for a therapeutic or diagnostic procedure
Exclusion
- Incomplete informatic data
- Error in the encoding system
Key Trial Info
Start Date :
January 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
July 30 2024
Estimated Enrollment :
68683 Patients enrolled
Trial Details
Trial ID
NCT06582407
Start Date
January 1 2020
End Date
July 30 2024
Last Update
October 18 2024
Active Locations (1)
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1
Université de Mons
Mons, Belgium, 7000