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Predicting awareness of where facility-based abortion services can be accessed among women in Ethiopia using explainable machine learning

Nature ·

The Brief

  • A study published in Scientific Reports applies explainable machine learning to predict awareness of where facility-based abortion services can be accessed among women in Ethiopia.
  • The source provided only the title and no summary, so the methods, data and results are not described here.

Why it matters

It shows how explainable machine learning can be applied to questions of health-service awareness and access, which may interest researchers and planners working on reproductive health services.

Who’s affected

  • reproductive health researchers
  • health service planners and policymakers in Ethiopia

Timeline

  1. Listed in nature.com subject feed

  2. Medical research : nature.com subject feeds

    Predicting awareness of where facility-based abortion services can be accessed among women in Ethiopia using explainable machine learning

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    Predicting awareness of where facility-based abortion services can be accessed among women in Ethiopia using explainable machine learning – The Morning Science