Geographical and socioeconomic inequalities in breast cancer mortality: a machine learning analysis in Brazil

Lívia Faria Ferrete, Letícia Martins Raposo

Open source

DOI: 10.1016/j.sste.2026.100800
Published: 2026-06
Container: Spatial and Spatio-temporal Epidemiology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.sste.2026.100800,
  title = {Geographical and socioeconomic inequalities in breast cancer mortality: a machine learning analysis in Brazil},
  author = {Lívia Faria Ferrete and Letícia Martins Raposo},
  year = {2026},
  journal = {Spatial and Spatio-temporal Epidemiology},
  doi = {10.1016/j.sste.2026.100800},
  url = {https://doi.org/10.1016/j.sste.2026.100800}
}

RIS

TY  - JOUR
TI  - Geographical and socioeconomic inequalities in breast cancer mortality: a machine learning analysis in Brazil
AU  - Lívia Faria Ferrete
AU  - Letícia Martins Raposo
PY  - 2026
JO  - Spatial and Spatio-temporal Epidemiology
DO  - 10.1016/j.sste.2026.100800
UR  - https://doi.org/10.1016/j.sste.2026.100800
ER  -

APA

Ferrete, L. F., & Raposo, L. M. (2026). Geographical and socioeconomic inequalities in breast cancer mortality: a machine learning analysis in Brazil. Spatial and Spatio-temporal Epidemiology. https://doi.org/10.1016/j.sste.2026.100800

Source records

crossref · retrieved 2026-09-25T07:24:32.982Z