ICE-VDOP: an integrated clustering and ensemble machine learning methods for an enhanced vector-borne disease outbreak prediction using climatic variables-Reference-Cited by-同舟云学术

ICE-VDOP: an integrated clustering and ensemble machine learning methods for an enhanced vector-borne disease outbreak prediction using climatic variables

Published:2024-03-06 Issue:4 Volume:16 Page:2077-2088
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Jayabalan Divya^ORCID,Elango Sivasankar

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41870-024-01757-6.pdf

Reference36 articles.

1. WHO: Vector-borne diseases. WHO Factsheets (2020). https://www.who.int/news-room/fact-sheets/detail/vector-borne-diseases

2. WHO: Dengue and severe dengue. WHO Factsheets (2020). https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue

3. Nkiruka O, Prasad R, Clement O (2021) Prediction of malaria incidence using climate variability and machine learning. Inform Med Unlocked. https://doi.org/10.1016/j.imu.2020.100508

4. Lim JT, Han Y, Dickens BSL et al (2020) Revealing two dynamic dengue epidemic clusters in Thailand. BMC Infect Dis 20:927. https://doi.org/10.1186/s12879-020-05666-4

5. Ong J, Liu X, Rajarethinam J, Kok SY, Liang S, Tang CS et al (2018) Mapping dengue risk in Singapore using random forest. PLoS Negl Trop Dis 12:6. https://doi.org/10.1371/journal.pntd.0006587

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing VANET communication using squid game optimization based energy aware clustering approach;International Journal of Information Technology;2024-09-13