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Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients

NCT05564975 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 350

Last updated 2022-10-06

No results posted yet for this study

Summary

In the previous investigation, investigators found that when the risk factors of stress injury in critical patients changed, clinical nurses lacked the awareness of evaluating the risk of stress injury, and lacked the risk assessment of this link. The stress risk prediction model is based on etiology. By analyzing the risk factors, the machine learning algorithm is used to evaluate the risk of pressure damage, and the prediction model of pressure damage can dynamically and comprehensively evaluate its risk. It is also a risk assessment tool. At present, there is no research on applying the stress injury risk prediction model of critical patients to the intensive care information software in China. In this study, the artificial intelligence algorithm library will be used to construct and apply the stress injury risk prediction model for critical patients.

Conditions

  • Pressure Injury
  • Critically Ill Patients
  • Risk Factors
  • Machine Learning Algorithms

Interventions

OTHER

Sponsors & Collaborators

  • Yang Chaonan

    lead OTHER

Principal Investigators

  • YangChaonan Nurse-in-charge, BM · Huzhou University

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-01
Primary Completion
2022-11-01
Completion
2022-12-01

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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 NCT05564975 on ClinicalTrials.gov