Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA.

Hassan L, Elkaref M, de Mel G, Bogdanovica I, Nenadic G

Open source

DOI
10.1016/j.health.2022.100066
Published
2022 Nov
Container
Healthcare analytics (New York, N.Y.)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.health.2022.100066,
  title = {Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA.},
  author = {Hassan L and Elkaref M and de Mel G and Bogdanovica I and Nenadic G},
  year = {2022},
  journal = {Healthcare analytics (New York, N.Y.)},
  doi = {10.1016/j.health.2022.100066},
  url = {https://doi.org/10.1016/j.health.2022.100066}
}

RIS

TY  - JOUR
TI  - Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA.
AU  - Hassan L
AU  - Elkaref M
AU  - de Mel G
AU  - Bogdanovica I
AU  - Nenadic G
PY  - 2022
JO  - Healthcare analytics (New York, N.Y.)
DO  - 10.1016/j.health.2022.100066
UR  - https://doi.org/10.1016/j.health.2022.100066
ER  - 

APA

L, H., M, E., G, D. M., I, B., & G, N. (2022). Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA.. Healthcare analytics (New York, N.Y.). https://doi.org/10.1016/j.health.2022.100066

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