Diagnostic Accuracy Measures | Zendy

Paolo Eusebi | Zendy

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Diagnostic Accuracy Measures

Author(s) -

Paolo Eusebi

Publication year - 2013

Publication title -

cerebrovascular diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.221

H-Index - 104

eISSN - 1421-9786

pISSN - 1015-9770

DOI - 10.1159/000353863

Subject(s) - medicine , diagnostic odds ratio , receiver operating characteristic , diagnostic accuracy , diagnostic test , discriminative model , population , positive predicative value , cut point , disease , statistics , predictive value , machine learning , pathology , pediatrics , computer science , environmental health , mathematics

An increasing number of diagnostic tests and biomarkers have been validated during the last decades, and this will still be a prominent field of research in the future because of the need for personalized medicine. Strict evaluation is needed whenever we aim at validating any potential diagnostic tool, and the first requirement a new testing procedure must fulfill is diagnostic accuracy.

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