Package socio4health is an extraction, transformation and loading (ETL) classification tool designed to simplify the intricate process of collecting and merging data from multiple sources, focusing on sociodemographic and census datasets from Colombia, Brazil, and Peru, into a harmonized dataset.
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Streamlined toolkit for predicting human phenotypes from UK Biobank using tree-based ensembles and linear models. Load high-dimensional SNP and covariate data, select variants via Random Feature Selection to balance accuracy and runtime, and interpret genetic plus socio-demographic feature contributions with SHAP.
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
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