Integrating machine learning and spatial clustering for malaria case prediction in Brazil’s Legal Amazon

Guardado en:

Detalles Bibliográficos
Publicado en:	BMC Infectious Diseases vol. 25 (2025), p. 1-17
Autor principal:	Kayo Henrique de Carvalho Monteiro
Otros Autores:	Élisson da Silva Rocha, Morais, Luis Augusto, Elton Gino Santos, Sebastião Rogerio da S. Neto, Sampaio, Vanderson, Endo, Patricia Takako
Publicado:	Springer Nature B.V.
Materias:	Brazil Brazilian Legal Amazon Health promotion Health surveillance Malaria Accuracy Public health Deep learning Datasets Displaced persons Trends Mortality Disease control Machine learning Disease transmission Clustering Long short-term memory Performance evaluation Statistical analysis Learning algorithms Heterogeneity Cluster analysis Artificial intelligence Support vector machines Root-mean-square errors Spatial heterogeneity Epidemics Effectiveness Socioeconomics Global health Vector-borne diseases Mathematical models Vector quantization Social
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!