Development and characterization of neural network-based multianalyte delta checks
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AME Publishing Company
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http://jlpm.amegroups.com/article/download/5553/pdf
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Machine Learning Model for the Routine Detection of “Wrong Blood in Complete Blood Count Tube” Errors;Clinical Chemistry;2023-07-20
2. Data-Driven Anomaly Detection in Laboratory Medicine: Past, Present, and Future;The Journal of Applied Laboratory Medicine;2023-01-04
3. Contamination of clinical blood samples with crystalloid solutions: An experimental approach to derive multianalyte delta checks;Clinica Chimica Acta;2023-01
4. Machine learning models outperform manual result review for the identification of wrong blood in tube errors in complete blood count results;International Journal of Laboratory Hematology;2022-03-10
5. Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors;Clinical Chemistry and Laboratory Medicine (CCLM);2021-11-01
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