Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study

Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study

Afficher d'autres versions (1)

<h4>Objective</h4> To analyze the performance of adenosine deaminase in pleural fluid combined with other parameters routinely measured in clinical practice and assisted by machine learning algorithms for the diagnosis of pleural tuberculosis in a low prevalence setting, and secondly, to...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Alberto Garcia-Zamalloa, Diego Vicente, Rafael Arnay, Arantzazu Arrospide, Jorge Taboada, Iván Castilla-Rodríguez, Urko Aguirre, Nekane Múgica, Ladislao Aldama, Borja Aguinagalde, Montserrat Jimenez, Edurne Bikuña, Miren Begoña Basauri, Marta Alonso, Emilio Perez-Trallero, with the Gipuzkoa Pleura Group Consortium
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/d8eb00d217814900ae30248cd165b8e3
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/d8eb00d217814900ae30248cd165b8e3

Documents similaires