Machine learning clinical decision support systems for surveillance: a case study on pertussis and RSV in children

We tested the performance of a machine learning (ML) algorithm based on signs and symptoms for the diagnosis of RSV infection or pertussis in the first year of age to support clinical decisions and provide timely data for public health surveillance. We used data from a retrospective case series of c...

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Detalles Bibliográficos
Autores principales: Mc Cord—De Iaco, Kimberly A., Gesualdo, Francesco, Pandolfi, Elisabetta, Croci, Ileana, Tozzi, Alberto Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239967/
https://www.ncbi.nlm.nih.gov/pubmed/37284288
http://dx.doi.org/10.3389/fped.2023.1112074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239967/
https://www.ncbi.nlm.nih.gov/pubmed/37284288
http://dx.doi.org/10.3389/fped.2023.1112074

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