NCT05569460
Recruiting
Not Applicable
Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Anesthesia
- Sponsor
- Guangdong Second Provincial General Hospital
- Enrollment
- 6500
- Locations
- 1
- Primary Endpoint
- Area under the curve
- Status
- Recruiting
- Last Updated
- 3 years ago
Overview
Brief Summary
Data intelligence platform was widely used to facilitate the process of clinical research. However, a platform that integrates natural language processing (NLP) and machine learning (ML) algorithms has not been reported in perioperative medical management.
Investigators
Hui Zhang
associate chief physician
Guangdong Second Provincial General Hospital
Eligibility Criteria
Inclusion Criteria
- •Patients were included if they were above 18 years old, undergoing non-local anesthesia surgery.
Exclusion Criteria
- •The basic information such gender, age, height, weight, and body mass index (BMI) were missing.
- •Patients undergoing day surgery, with a history of multiple operations, or entering ICU after surgery, and losing the NRS score during movement at 24h after surgery.
Outcomes
Primary Outcomes
Area under the curve
Time Frame: April 2020 to May 2021
It measures the prediction effect of the algorithm model
Study Sites (1)
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