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Machine Learning Prediction of Multiple Infections in Elderly Surgical Patients

NCT06547281 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 42540

Last updated 2024-09-24

No results posted yet for this study

Summary

Utilizing machine learning techniques, investigators developed the geriatric infection assessment model, leveraging domestic databases to predict multiple postoperative infections in elderly patients. The model addresses the current gap in predictive tools tailored for elderly surgical patients in China, offering insights into both overall and specific infection risks.

Conditions

  • Postoperative Infection
  • Geriatrics
  • Prediction

Sponsors & Collaborators

  • Weidong Mi

    lead OTHER

Principal Investigators

  • Weidong Mi · Depatment of Anesthesiology, The First Medical Center Affiliation: Chinese PLA General Hospital

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2023-12-30
Completion
2024-03-30

Countries

  • China

Study Locations

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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 NCT06547281 on ClinicalTrials.gov