Predicting utilization of emergency contraceptives in ethiopia and identifying its predictors using machine learning
A study using machine learning and Explainable AI analyzed data from Ethiopian women to identify predictors for emergency contraceptive use. The research found that awareness and media exposure are more significant drivers of usage than socioeconomic factors.
Why it matters
Applying advanced data science to public health can help policymakers design more effective reproductive health interventions.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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