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Predicting Severe Acute Respiratory Illness (SARI) Mortality with Scikit-Learn Halving Search

Community description: Build an end-to-end Python ML pipeline using DataSUS records and HalvingRandomSearchCV to tune Random Forests at scale.

Dev.to | Nov 4, 2026 | Larissa Vitória

Automated excerpt

When dealing with public health data, computational efficiency and rapid experimentation are critical factors. Severe Acute Respiratory Illness (SARI) remains a major global public health concern. Data Cleaning and Binary Normalization Public health records contain ambiguous missing flags.

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