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Perioperative Risk Calculator

NCT04092933 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 175559

Last updated 2023-11-22

No results posted yet for this study

Summary

The aim of this project is to develop a machine-learning model for calculating the risk of postoperative complications. In addition to the data collected during the premedication, the model will include all intraoperative values recorded in the Patient Data Management System (PDMS), which include not only vital and respiratory parameters, but also medication and doses, intraoperative events and times. Postoperative complications are defined according to their severity according to the Clavien-Dindo score (Dindo, Demartines et al., 2004) and are collected from the data available in the health information system (HIS).

The machine-learning model is created using an extreme-gradient boosting algorithm which has been updated with new data from the year 2021 to ensure accuracy of the model.

Conditions

  • Perioperative/Postoperative Complications

Sponsors & Collaborators

  • Health Information Management, Belgium

    collaborator OTHER

  • Technical University of Munich

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-05-01
Primary Completion
2022-09-30
Completion
2024-12-31

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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 NCT04092933 on ClinicalTrials.gov