ParentData with Emily Oster cover image

Racial Disparity in C-Section Rates: Unpacking bias in the medical system

ParentData with Emily Oster

00:00

Predicting C-Section Rates with Big Data

This chapter delves into the analysis of anonymized birth certificate data to uncover factors influencing C-section rates among mothers. Utilizing advanced machine learning techniques like the random forest model, the discussion highlights how these insights can inform medical decisions regarding the appropriateness of C-sections for individual cases.

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