Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities

This study is conducted to build a multi-criteria text mining model for COVID-19 testing reasons and symptoms. The model is integrated with a temporal predictive classification model for COVID-19 test results in rural underserved areas. A dataset of 6895 testing appointments and 14 features is used...

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Detalles Bibliográficos
Autores principales: Abu Lekham, Laith, Wang, Yong, Hey, Ellen, Khasawneh, Mohammad T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729325/
https://www.ncbi.nlm.nih.gov/pubmed/35013649
http://dx.doi.org/10.1007/s00521-021-06884-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729325/
https://www.ncbi.nlm.nih.gov/pubmed/35013649
http://dx.doi.org/10.1007/s00521-021-06884-w

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