Cargando…
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...
Autores principales: | Abu Lekham, Laith, Wang, Yong, Hey, Ellen, Khasawneh, Mohammad T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
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 |
Ejemplares similares
-
Investigating diseases and chemicals in COVID-19 literature with text mining
por: Karami, Amir, et al.
Publicado: (2021) -
Mining Text in Online News Reports of COVID-19 Virus: Key Phrase Extractions and Graphic Modeling
por: Tseng, Wen-Ta
Publicado: (2020) -
COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics
por: Tworowski, Dmitry, et al.
Publicado: (2020) -
Predicting the Spread of COVID-19 Using [Formula: see text] Model Augmented to Incorporate Quarantine and Testing
por: Anand, Nikhil, et al.
Publicado: (2020) -
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
por: Wang, Lucy Lu, et al.
Publicado: (2020)