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Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV

In this study, Bayes’ theorem was used to determine the probability of a patient having Lyme disease (LD), given a positive test result obtained using commercial test kits in clinically diagnosed patients. In addition, an algorithm was developed to extend the theorem to the two-tier test methodology...

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Detalles Bibliográficos
Publicado en:Int J Gen Med
Autores principales: Cook, Michael J, Puri, Basant K
Formato: Artigo
Lenguaje:Inglês
Publicado: Dove Medical Press 2017
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5391870/
https://ncbi.nlm.nih.gov/pubmed/28435311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/IJGM.S131909
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