Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter

BACKGROUND: Lyme disease is one of the most commonly reported infectious diseases in the United States (US), accounting for more than [Formula: see text] of all vector-borne diseases in North America. OBJECTIVE: In this paper, self-reported tweets on Twitter were analyzed in order to predict potenti...

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Detalles Bibliográficos
Autores principales: Boligarla, Srikanth, Laison, Elda Kokoè Elolo, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Lin, Yangming, Thioub, Mamadou Yamar, Huang, Bruce, Ibrahim, Mohamed Hamza, Nasri, Bouchra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578027/
https://www.ncbi.nlm.nih.gov/pubmed/37845666
http://dx.doi.org/10.1186/s12911-023-02315-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578027/
https://www.ncbi.nlm.nih.gov/pubmed/37845666
http://dx.doi.org/10.1186/s12911-023-02315-z

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