Questionnaire-based algorithm predicts preeclampsia risk in pregnant woman

Authors/Creators

Enoch Odame Anto, Edith Cowan UniversityFollow

Abstract

Research presented today at the 71^st AACC Annual Scientific Meeting & Clinical Lab Expo shows that a questionnaire-based algorithm predicts the risk of a pregnant woman developing preeclampsia. This method could lower the high maternal death rate in resource-limited countries by identifying women who need treatment for this often fatal condition.

Document Type

Journal Article

Date of Publication

2019

School

School of Medical and Health Sciences

Copyright

subscription content

Publisher

News-Medical.Net

Identifier

Enoch Anto
Orcid: 0000-0001-9023-6612

Related Publications

Anto, E. O. (2020). Evaluation of suboptimal health status and prospective levels of oxidative stress biomarkers and angiogenic growth mediators with placental anatomy and pathology in normotensive and preeclamptic births. https://ro.ecu.edu.au/theses/2317

Comments

Anto, E.O. (August 6, 2019). Questionnaire-based algorithm predict preeclampsia risk. (2019). Medical Life Science News. https://www.news-medical.net/news/20190806/Questionnaire-based-algorithm-predicts-preeclampsia-risk-in-pregnant-woman.aspx

Recommended Citation

Anto, E. O. (2019). Questionnaire-based algorithm predicts preeclampsia risk in pregnant woman. Retrieved from https://ro.ecu.edu.au/ecuworkspost2013/8179