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Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018.

Matheus Félix Xavier BarbozaKayo Henrique de Carvalho MonteiroIago Richard RodriguesGuto Leoni SantosWuelton Marcelo MonteiroElder Augusto Guimaraes FigueiraVanderson de Souza SampaioTheo LynnPatricia Takako Endo
Published in: Revista da Sociedade Brasileira de Medicina Tropical (2022)
All models showed satisfactory accuracy and strong performance in predicting new cases of malaria, and each could serve as a supplemental tool to support regional policies and strategies.
Keyphrases
  • deep learning
  • plasmodium falciparum
  • public health
  • machine learning