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Development of Synthetic Medical Data Generation Technology to Predict Postoperative Complications

NCT05986474 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 410000

Last updated 2023-08-14

No results posted yet for this study

Summary

\<Development of synthetic medical data generation technology to predict postoperative complications\>

In order to develop a model for predicting the occurrence of complications after surgery, it is necessary to establish a cohort along with statistical indicators related to the occurrence of complications. This study aims to combine synthetic medical data based on actual clinical data and develop a predictive model based on synthetic medical data.

This will allow researchers to conduct research only with synthetic data without dealing with actual medical data, allowing them to use and process data without legal constraints, and to create as much data as they want based on various preprocessed, standardized, and labeled raw data.

Patients from three hospitals in Korea (Seoul National University Hospital, Seoul National University Bundang Hospital, Seoul Metropolitan City-Boramae Medical Center) were enrolled for the study.

Medical data (both clinical and laboratory) from 410,000 patients who were conducted surgery between 2005 and 2020 were collected to evaluate the performance of the prediction model using AKI-based prediction model development and external verification.

Based on the collected patient data, synthetic medical data were combined using the machine learning algorithm, and the anonymity and re-identification of the synthesized medical data were evaluated.

Also, the development of AI-based prediction model using synthetic medical data and the actual medical data model were compared.

Conditions

Sponsors & Collaborators

  • Seoul National University Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-03-26
Primary Completion
2022-09-27
Completion
2023-03-25

Countries

  • South Korea

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05986474 on ClinicalTrials.gov