MedTrace Logo

A Novel Approach to Antimicrobial Resistance: Machine Learning Predictions for Carbapenem-Resistant Klebsiella in ICUs

NCT05985057 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 289

Last updated 2025-04-09

No results posted yet for this study

Summary

The aim of this study to predict carbapenem resistant Klebsiella spp. earlier in our patients monitored in our Intensive Care Unit in the future, using artificial intelligence.

Patients with bloodstream infection and pneumonia caused by Klebsiella spp. will be comparatively examined in two groups, as sensitive and resistant. Resistance will be attempted to be predicted with deep machine learning.

Conditions

  • Carbapenem Resistant Enterobacteriaceae Infection
  • Artificial Intelligence
  • Intensive Care Unit

Interventions

OTHER

Artificial intelligence

Prediction of carbapenem resistance via deep machine learning model

Sponsors & Collaborators

  • Kocaeli University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-12-01
Primary Completion
2024-06-22
Completion
2024-06-30

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

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 NCT05985057 on ClinicalTrials.gov