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Machine learning algorithms for dengue risk assessment: a case study for São Luís do Maranhão
This study aims to assess dengue fever risk using Machine Learning techniques, such as logistic regressions, linear discriminant analyses, Naive Bayes, decision tree, and random forest classifiers. This kind of approach to epidemiological problems has been developed to detect risks for diseases occu...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664747/ http://dx.doi.org/10.1007/s40314-022-02101-z |