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

> **NCT05569460** · — · UNKNOWN · sponsor: **Guangdong Second Provincial General Hospital** · enrollment: 6500 (estimated)

## Conditions studied

- Anesthesia
- Acute Pain
- Risk Reduction

## Interventions

- **OTHER:** No intervention

## Key facts

- **NCT ID:** NCT05569460
- **Lead sponsor:** Guangdong Second Provincial General Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2022-10
- **Primary completion:** 2023-10
- **Final completion:** 2023-12
- **Target enrollment:** 6500 (ESTIMATED)
- **Last updated:** 2022-10-06


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05569460

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05569460, "Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT05569460. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
