American Journal of Obstetrics & Gynecology

Explainable “white-box” machine learning is the way forward in preeclampsia screening

Michael Christiansen, Casper Wilstrup, Paula L. Hedley. American Journal of Obstetrics & Gynecology (June 28, 2022).

To the editors

Screening for preeclampsia (PE) has not yet reached widespread clinical implementation, despite decades of research and the identification of several biomarkers and clinical risk factors. However, new machine learning (ML) methods provide promise for early pregnancy PE screening, as they enable a combination of deep clinical phenotyping and biomarker information with environmental exposures. The contemporary use of electronic health records and the standardization of clinical and biomarker information have set the scene for improvements in PE screening by considerably improving the possible “input” to a screening program.

Cool! You can download this letter to the editors

Anyone can read, download, distribute, or cite this letter.

Share this research

More Abzu in research

Get notified

Subscribe to receive a notification on new research with Abzu. You can opt out at any time.

We’re cookieless, and our privacy policy is actually easy to read.

Contact Abzu

It’s easy to get in touch with an Abzoid.

Contact form

Fill out the form below, and an Abzoid will be in touch in 24 hours.

Email us

Email a scientist at or

Call us

Reach us during standard CET business hours at +45 31 23 47 64.