# Machine Learning Versus Traditional Scores in Predicting Erythrocyte Need

> **NCT06594484** · — · COMPLETED · sponsor: **Kocaeli City Hospital** · enrollment: 430 (actual)

## Conditions studied

- Erythrocyte Transfusion
- Machine Learning

## Interventions

- **OTHER:** Ml Based Algorithm 1
- **OTHER:** Ml Based Algroithm 2
- **OTHER:** Bleeding Scores

## Key facts

- **NCT ID:** NCT06594484
- **Lead sponsor:** Kocaeli City Hospital
- **Sponsor class:** OTHER_GOV
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2024-02-22
- **Primary completion:** 2024-05-22
- **Final completion:** 2024-05-30
- **Target enrollment:** 430 (ACTUAL)
- **Last updated:** 2024-09-19


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06594484

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06594484, "Machine Learning Versus Traditional Scores in Predicting Erythrocyte Need". Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/clinical/NCT06594484. Licensed CC0.

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