Anesthesia Clinical Trial
Official title:
Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models
NCT number | NCT05569460 |
Other study ID # | Guangdong2nd |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | October 2022 |
Est. completion date | December 2023 |
Verified date | October 2022 |
Source | Guangdong Second Provincial General Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Recruiting |
Enrollment | 6500 |
Est. completion date | December 2023 |
Est. primary completion date | October 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | 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. |
Country | Name | City | State |
---|---|---|---|
China | Guangdong Second Provincial General Hospital | Guangzhou |
Lead Sponsor | Collaborator |
---|---|
Guangdong Second Provincial General Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Area under the curve | It measures the prediction effect of the algorithm model | April 2020 to May 2021 |
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