Skip To Main Content
Nigus Bililign Yimer on Muck Rack

Nigus Bililign Yimer

As seen in: Nature, PLOS ONE
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Nigus Bililign

Contact Nigus Bililign, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data

|
By Chalie Mulugeta, Tadele emagneneh, Aynalem Yetwale, Nigus Bililign Yimer, Mulat Ayele, Abebaw Alamrew, Ketemaw Negese, Shimelis Tadese
| Nature Verified
Abstract Postpartum convulsions, defined as seizure episodes occurring after childbirth during the postpartum period, remain a major cause of maternal morbidity and mortality in Ethiopia. This study aimed to develop and validate machine learning models to predict postpartum convulsions using clinical indicators from performance monitoring for action (PMA) Ethiopia data set. Eight machine learning algorithms were developed and evaluated.
Open in Who Shared Issue with article?
See all 1 articles