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

> **NCT05985057** · — · COMPLETED · sponsor: **Kocaeli University** · enrollment: 289 (actual)

## Conditions studied

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

## Interventions

- **OTHER:** Artificial intelligence

## Key facts

- **NCT ID:** NCT05985057
- **Lead sponsor:** Kocaeli University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2023-12-01
- **Primary completion:** 2024-06-22
- **Final completion:** 2024-06-30
- **Target enrollment:** 289 (ACTUAL)
- **Last updated:** 2025-04-09


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05985057

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05985057, "A Novel Approach to Antimicrobial Resistance: Machine Learning Predictions for Carbapenem-Resistant Klebsiella in ICUs". Retrieved via AI Analytics 2026-06-26 from https://api.ai-analytics.org/clinical/NCT05985057. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*