📣 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.

Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System

First Author: Hall A

Attributed to: Towards visually-driven speech enhancement for cognitively-inspired multi-modal hearing-aid devices (AV-COGHEAR) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-319-49685-6_25

Publication URI: http://dx.doi.org/10.1007/978-3-319-49685-6_25

Type: Book Chapter

Book Title: Advances in Brain Inspired Cognitive Systems (2016)

Page Reference: 274-283

ISBN: 978-3-319-49684-9

ISSN: 0960-3174