Machine learning algorithms for dengue risk assessment: a case study for São Luís do Maranhão

DOI10.1007/S40314-022-02101-ZOpenAlexW4309110190MaRDI QIDQ2099551

Fernanda Paula Rocha, Mateus Giesbrecht

Publication date: 24 November 2022

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-022-02101-z

zbMATH Keywords

classificationlogistic regressionmachine learningnaive Bayesrandom forestdengue

Mathematics Subject Classification ID

Statistics (62-XX) Biology and other natural sciences (92-XX) Computer science (68-XX)

Uses Software

• ISLR
• SMOTE

This page was built for publication: Machine learning algorithms for dengue risk assessment: a case study for São Luís do Maranhão