Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive models for monitoring dengue transmission rates. Previous work has focused only on specific weather variables and algorithms, and there is still a need for a model that uses more variables and algorith...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Springer Nature
2023
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38089/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38089/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38089/ https://doi.org/10.1038/s41598-023-46342-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!