Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care

Au-Yeung, Lee; Xie, Xianghua; Chess, James; Scale, Timothy

doi:10.1109/icpr48806.2021.9413108

Conference Paper/Proceeding/Abstract 487 views 18 downloads

Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care

Lee Au-Yeung, Xianghua Xie

, James Chess, Timothy Scale

2020 25th International Conference on Pattern Recognition (ICPR)

Swansea University Authors: Lee Au-Yeung, Xianghua Xie

PDF | Accepted Manuscript

© 202IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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DOI (Published version): 10.1109/icpr48806.2021.9413108

Published in:	2020 25th International Conference on Pattern Recognition (ICPR)
ISBN:	978-1-7281-8808-9
ISSN:	1051-4651
Published:	IEEE 2021
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa55574

first_indexed	2021-07-19T18:33:14Z
last_indexed	2024-11-14T12:08:30Z
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spelling	2024-07-29T15:37:07.1079223 v2 55574 2020-11-02 Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care 03ec2c83193e4ccb785c60bb46443497 Lee Au-Yeung Lee Au-Yeung true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2020-11-02 DISO Conference Paper/Proceeding/Abstract 2020 25th International Conference on Pattern Recognition (ICPR) IEEE 978-1-7281-8808-9 1051-4651 Chronic kidney disease 10 1 2021 2021-01-10 10.1109/icpr48806.2021.9413108 COLLEGE NANME Digital Solutions COLLEGE CODE DISO Swansea University 2024-07-29T15:37:07.1079223 2020-11-02T09:37:26.0245464 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Lee Au-Yeung 1 Xianghua Xie 0000-0002-2701-8660 2 James Chess 3 Timothy Scale 4 55574__18558__ab4829644ffd4d86ae58335218f1243f.pdf icpr20_lee.pdf 2020-11-02T09:39:00.2391696 Output 654026 application/pdf Accepted Manuscript true 2023-05-31T00:00:00.0000000 © 202IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. true eng
title	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
spellingShingle	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care Lee Au-Yeung Xianghua Xie
title_short	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
title_full	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
title_fullStr	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
title_full_unstemmed	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
title_sort	Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
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author	Lee Au-Yeung Xianghua Xie
author2	Lee Au-Yeung Xianghua Xie James Chess Timothy Scale
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container_title	2020 25th International Conference on Pattern Recognition (ICPR)
publishDate	2021
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doi_str_mv	10.1109/icpr48806.2021.9413108
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Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care

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