Assessing accuracy and precision of a medical lab machine by means of cluster analysis

DOI10.1007/S00357-001-0043-9zbMath1017.62054OpenAlexW2064129085MaRDI QIDQ1566083

Stanley L. Sclove

Publication date: 3 September 2003

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-001-0043-9

zbMATH Keywords

EM algorithmcluster analysisfinite mixture modelmedical instrumentationautomated testsdecision risk analysishermatologywhite blood cell counts

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Unsupervised classification with a family of parsimonious contaminated shifted asymmetric Laplace mixtures

Uses Software

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