Prediction of Large for Gestational Age Infants in Ethnically Diverse Datasets Using Machine Learning Techniques. Development of 3rd Trimester Machine Learning Prediction Models and Identification of Important Features Using Dimensionality Reduction Techniques

Description

University of Bradford through the International Development Fund / The full text will be available at the end of the embargo: 13th Oct 2024

Links & Downloads

1. http://hdl.handle.net/10454/19893

Tags

Large for gestational age

Gestational diabetes

Macrosomia

Obesity

Machine learning

Prediction

Class imbalance

Algorithms

Ethnically diverse datasets

Additional Fields

Identifer	oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19893
Date	January 2023
Creators	Sabouni, Sumaia
Contributors	Graham, Anne M, Qahwaji, Rami S.R., Poterlowicz, Krzysztof
Publisher	University of Bradford, School of Chemistry & Biosciences. Faculty of Life Sciences
Source Sets	Bradford Scholars
Language	English
Detected Language	English
Type	Thesis, doctoral, PhD
Rights	<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.