DM-CART offers a novel Bayesian, nonparametric, tree-based approach to investigate determinants of LBW outcomes.
-
Updated
May 23, 2025 - TeX
DM-CART offers a novel Bayesian, nonparametric, tree-based approach to investigate determinants of LBW outcomes.
Data-driven analysis to predict birthweight, leveraging computational analytics and machine learning techniques to identify critical factors, evaluate correlations, and implement actionable public health insights.
Add a description, image, and links to the birthweight-prediction topic page so that developers can more easily learn about it.
To associate your repository with the birthweight-prediction topic, visit your repo's landing page and select "manage topics."