This repository is based on our paper:
Prediction of Infant Mortality in Brazil using Machine Learning and Entity Matching on Brazilian Unified Health System's Data
Authors: Morsoleto, R. et al.
Presented and accepted at: KDMiLe 2025.
Important
The input files weren't included in this repository due to their size. Both can be acquired from etlSUS and be manually loaded on to the data/input folder.
Poetry was used for dependency management. To download it, visit: python-poetry.org.
Activate a virtual environment and execute:
poetry install
# Or
pip install .python main.pyLGNU | © GOPAD 2025