A study on quality control using delta data with machine learning technique-Reference-Cited by-同舟云学术

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A study on quality control using delta data with machine learning technique

Published:2022-08 Issue:8 Volume:8 Page:e09935
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Liang Yufang^ORCID,Wang Zhe,Huang Dawei,Wang Wei^ORCID,Feng Xiang,Han Zewen,Song Biao,Wang Qingtao,Zhou Rui

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference21 articles.

1. Commutability limitations influence quality control results with different reagent lots;Miller;Clin. Chem.,2011

2. Clinically relevant lot-to-lot reagent difference in a commercial immunoturbidimetric assay for glycated hemoglobin A1c;Thaler;Clin. Biochem.,2015

3. Regression-adjusted real-time quality control;Duan;Clin. Chem.,2021

4. Optimization of a moving averages program using a simulated annealing algorithm: the goal is to monitor the process not the patients;Ng;Clin. Chem.,2016

5. A novel weighted cumulative delta-check method for highly sensitive detection of specimen mix-up in the clinical laboratory;Yamashita;Clin. Chem. Lab. Med.,2013

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3. Application of Patient-based Real-time Quality Control;Korean Journal of Clinical Laboratory Science;2024-06-30

4. Artificial intelligence in the clinical laboratory;Clinica Chimica Acta;2024-06

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