Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis

BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals, and accurate laboratory testing and interpretati...

Descripción completa

Detalles Bibliográficos
Autores principales: Laison, Elda Kokoe Elolo, Hamza Ibrahim, Mohamed, Boligarla, Srikanth, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Muthuramalingam, Venkataraman, Lee, Wee Yi, Yin, Yijun, Nasri, Bouchra R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616745/
https://www.ncbi.nlm.nih.gov/pubmed/37843893
http://dx.doi.org/10.2196/47014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616745/
https://www.ncbi.nlm.nih.gov/pubmed/37843893
http://dx.doi.org/10.2196/47014

Ejemplares similares