📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Identifying high-risk pre-term pregnancies using the fetal heart rate and machine learning (2024)

First Author: Davis Jones G

Attributed to: Next Generation Assessment of Fetal Wellbeing using Artificial Intelligence funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2024.02.26.24303280

Publication URI: http://dx.doi.org/10.1101/2024.02.26.24303280

Type: Preprint