Combined strategy of knowledge‐based rule selection and historical data percentile‐based range determination to improve an autoverification system for clinical chemistry test results

BACKGROUND: Current autoverification, which is only knowledge‐based, has low efficiency. Regular historical data analysis may improve autoverification range determination. We attempted to enhance autoverification by selecting autoverification rules by knowledge and ranges from historical data. This...

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Detalles Bibliográficos
Autores principales: Zhu, Jing, Wang, Hao, Wang, Beili, Hao, Xiaoke, Cui, Wei, Duan, Yong, Zhang, Yi, Ming, Liang, Zhou, Yingchun, Ding, Haitao, Ou, Hongling, Lin, Weiwei, Lu, Liu, Shang, Yuanjiang, Yang, Yong, Liang, Xianming, Ma, Jiangtao, Sun, Wenhua, Chen, Te, Han, Guang, Han, Meng, Yu, Weiting, Pan, Baishen, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841182/
https://www.ncbi.nlm.nih.gov/pubmed/35007357
http://dx.doi.org/10.1002/jcla.24233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841182/
https://www.ncbi.nlm.nih.gov/pubmed/35007357
http://dx.doi.org/10.1002/jcla.24233

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