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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Detalles Bibliográficos
Autor principal: Whisnant, Richard E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
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

Internet

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

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