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Development and validation of a machine learning model for accurate detection of wrong blood in tube errors in hospitalized patients
0
Zitationen
14
Autoren
2025
Jahr
Abstract
This machine-learning model, leveraging widely available routine laboratory parameters, shows strong potential for integration into clinical workflows, enhancing WBIT detection and improving patient safety.
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