A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia

Previous reviews have investigated machine learning (ML) models used to predict the risk of developing preeclampsia. However, they have not addressed the intended deployment of these models throughout pregnancy, nor have they detailed feature performance. This study aims to provide an overview of ex...

Full description

Saved in:
Bibliographic Details
Main Authors: Louise Pedersen, Magdalena Mazur-Milecka, Jacek Ruminski, Stefan Wagner
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/6/4/123
Tags: Add Tag
No Tags, Be the first to tag this record!