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Artificial Intelligence for Sepsis Prediction in ICU

NCT04913181 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2021-06-04

No results posted yet for this study

Summary

The development of sepsis prediction model in line with Chinese population, and extended to clinical, assist clinicians for early identification, early intervention, has a good application prospect. This study is a prospective observational study, mainly to evaluate the accuracy of the previously established sepsis prediction model. The occurrence of sepsis was determined by doctors' daily clinical judgment, and the results of the sepsis prediction model were matched and corrected to improve the clinical accuracy and applicability of the sepsis prediction model.

Conditions

  • Artificial Intelligence
  • Septic Shock
  • Intensive Care Unit Psychosis

Interventions

DIAGNOSTIC_TEST

Artificial intelligence sepsis prediction model

The main purpose of this paper is to evaluate the accuracy of the sepsis prediction model established in the early stage. The occurrence of sepsis is determined by the daily clinical judgment of doctors, and the results of sepsis prediction model are matched and corrected.

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2022-06-01
Completion
2023-06-01

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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 NCT04913181 on ClinicalTrials.gov