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Using machine learning to identify clotted specimens in coagulation testing
28
Zitationen
8
Autoren
2021
Jahr
Abstract
Here, we have described the application of ML algorithms in identifying the sample status based on the results of coagulation testing. This approach provides a proof-of-concept application of ML algorithms to evaluate the sample quality, and it has the potential to facilitate clinical laboratory automation.
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