An ontological analysis of medical Bayesian indicators of performance

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• 作者：Adrien Barton ; Jean-François Ethier ; Régis Duvauferrier…
• 关键词：Sensitivity ; Specificity ; Medical test ; Spectrum effect ; Disposition ; Realist ontology ; Informational entity
• 刊名：Journal of Biomedical Semantics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：766KB
• 刊物主题：Algorithms; Computer Appl. in Life Sciences; Data Mining and Knowledge Discovery; Computational Biology/Bioinformatics; Bioinformatics; Combinatorial Libraries;
• 出版者：BioMed Central
• ISSN：2041-1480
• 卷排序：8

文摘

BackgroundBiomedical ontologies aim at providing the most exhaustive and rigorous representation of reality as described by biomedical sciences. A large part of medical reasoning deals with diagnosis and is essentially probabilistic. It would be an asset for biomedical ontologies to be able to support such a probabilistic reasoning and formalize Bayesian indicators of performance: sensitivity, specificity, positive predictive value and negative predictive value. In doing so, one has to consider that not only the positive and negative predictive values, but also sensitivity and specificity depend upon the group under consideration: this is the “spectrum effect”.