Exploring machine learning algorithms to predict short birth intervals and identify its determinants among reproductive-age women in East Africa

The study demonstrates that machine learning models can effectively identify key predictors of short birth intervals among reproductive-age women in East Africa, providing valuable insights for designing targeted public health interventions to improve maternal and child health outcomes in East Africa.