We are a team of passionate developers and data scientists working to make Brazil's Unified Health System (SUS) databases more accessible. Our open-source tools and cleaned datasets enable researchers, policymakers, and developers to build data-driven public health solutions without the hassle of raw data wrangling.
⚠️ Many projects are under active development and will be released soon! Follow our organization for updates.
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SINASC - Automated extraction, transformation, and loading for birth registries.
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SIM - Mortality data processing pipeline.
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SINASC - Cleaned and standardized birth records ready for analysis.
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SIM - Processed mortality data with an unified schema.
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JOSIF | Paper link - Probabilistic linkage of SINASC and SIM datasets with Record Linkage python library.
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JOSIF | Paper link - Descriptive data analysis of the SINASC database, focused on racial inequalities.
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ICISMED - Association rule mining, with Apriori algorithm, on the SINASC dataset.
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SBSI | Paper link - Computational Architecture for Analysis and Decision-Making Support.
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Found a bug? Open an issue!
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Interested? Send us a email.
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Want more? Stay tuned for our future work!