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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
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 |
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