Symptom-Based Predictive Model of COVID-19 Disease in Children

Background: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (<16 years old), depending on their clinic...

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Detalles Bibliográficos
Autores principales: Antoñanzas, Jesús M., Perramon, Aida, López, Cayetana, Boneta, Mireia, Aguilera, Cristina, Capdevila, Ramon, Gatell, Anna, Serrano, Pepe, Poblet, Miriam, Canadell, Dolors, Vilà, Mònica, Catasús, Georgina, Valldepérez, Cinta, Català, Martí, Soler-Palacín, Pere, Prats, Clara, Soriano-Arandes, Antoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779426/
https://www.ncbi.nlm.nih.gov/pubmed/35062267
http://dx.doi.org/10.3390/v14010063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779426/
https://www.ncbi.nlm.nih.gov/pubmed/35062267
http://dx.doi.org/10.3390/v14010063

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