2024
DOI: 10.1186/s12911-024-02555-7
|View full text |Cite
|
Sign up to set email alerts
|

Development of machine learning models to predict perioperative blood transfusion in hip surgery

Han Zang,
Ai Hu,
Xuanqi Xu
et al.

Abstract: Background Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decision-making. The study aimed to develop machine learning models for predicting perioperative blood transfusion in hip surgery and identify significant risk factors. Methods Data of patients undergoing hip surgery between January 2013 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 54 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?