Validation of an Automated System for the Extraction of a Wide Dataset for Clinical Studies Aimed at Improving the Early Diagnosis of Candidemia

There is increasing interest in assessing whether machine learning (ML) techniques could further improve the early diagnosis of candidemia among patients with a consistent clinical picture. The objective of the present study is to validate the accuracy of a system for the automated extraction from a...

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Detalles Bibliográficos
Autores principales: Giacobbe, Daniele Roberto, Mora, Sara, Signori, Alessio, Russo, Chiara, Brucci, Giorgia, Campi, Cristina, Guastavino, Sabrina, Marelli, Cristina, Limongelli, Alessandro, Vena, Antonio, Mikulska, Malgorzata, Marchese, Anna, Di Biagio, Antonio, Giacomini, Mauro, Bassetti, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001256/
https://www.ncbi.nlm.nih.gov/pubmed/36900105
http://dx.doi.org/10.3390/diagnostics13050961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001256/
https://www.ncbi.nlm.nih.gov/pubmed/36900105
http://dx.doi.org/10.3390/diagnostics13050961

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