Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms

Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled health personnel remains very low. The aim of this study was to identify determinants and develop a predictive model for skilled delivery service use in Ethiopia by applying logistic regression and machine-learning techniques.

Authors: Brook Tesfaye, Suleman Atique, Tariq Azim, Mihiretu M. Kebede. 2019.