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A Novel Data Analytics-derived Metric (Nearest Cluster Distance) Is Easily Implemented in Routine Practice and Correctly Identifies Breast Cancer Cases for Quality Review
BACKGROUND: Errors in breast cancer grading and predictive testing are clinically important and can be difficult to detect in routine practice. A quality metric able to identify a subset of breast cancer cases which are high yield on quality review would be of practical clinical benefit. METHODS: Da...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855323/ https://www.ncbi.nlm.nih.gov/pubmed/35223134 http://dx.doi.org/10.1016/j.jpi.2022.100005 |