Text mining in mosquito-borne disease: A systematic review
Mosquito-borne diseases are emerging and re-emerging across the globe, especially after the COVID19 pandemic. The recent advances in text mining in infectious diseases hold the potential of providing timely access to explicit and implicit associations among information in the text. In the past few y...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Elsevier B.V.
2022
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/33228/1/Text%20mining%20in%20mosquito-borne%20disease.pdf https://eprints.ums.edu.my/id/eprint/33228/2/Text%20mining%20in%20mosquito-borne%20disease1.pdf https://eprints.ums.edu.my/id/eprint/33228/ https://www.sciencedirect.com/science/article/abs/pii/S0001706X22001449 https://doi.org/10.1016/j.actatropica.2022.106447 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
https://eprints.ums.edu.my/id/eprint/33228/1/Text%20mining%20in%20mosquito-borne%20disease.pdfhttps://eprints.ums.edu.my/id/eprint/33228/2/Text%20mining%20in%20mosquito-borne%20disease1.pdf
https://eprints.ums.edu.my/id/eprint/33228/
https://www.sciencedirect.com/science/article/abs/pii/S0001706X22001449
https://doi.org/10.1016/j.actatropica.2022.106447