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Machine Learning Versus Traditional Scores in Predicting Erythrocyte Need

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Contents

clinicaltrials.gov/study/NCT06594484
Is a
‌
Clinical study
0

Clinical Study attributes

NCT Number
NCT065944840
Health Conditions in Trial
Machine learning
Machine learning
0
Trial Recruitment Size
4300
Clinical Trial Start Date
February 22, 2024
0
Primary Completion Date
May 22, 2024
0
Study Completion Date
May 30, 2024
0
Clinical Trial Study Type
Observational0
Intervention Type
Other0
Observational Clinical Trial Type
Cohort0
Observational Study Perspective
Retrospective0
Official Name
Comparative Analysis of Machine Learning Versus Conventional Models for Predicting Erythrocyte Need in Cardiovascular Surgery0
Last Updated
September 13, 2024
0

Other attributes

Intervention Treatment
Ml Based Algorithm 10
Ml Based Algroithm 20
Bleeding Scores0
Study summary

In this study, we compared perioperative bleeding prediction scores with our machine learning-based prediction system in predicting the need for erythrocyte suspension during cardiovascular surgery.

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