Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

6500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-10-31

Study Completion Date

2023-12-31

Brief Summary

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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.

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Detailed Description

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Conditions

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Anesthesia Acute Pain Risk Reduction

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Numeric Rating Scale (NRS) score after surgery <4

No intervention

Intervention Type OTHER

No intervention

Numeric Rating Scale (NRS) score after surgery ≥ 4

No intervention

Intervention Type OTHER

No intervention

Interventions

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No intervention

Intervention Type OTHER

Eligibility Criteria

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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.

Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes