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Conference Paper/Proceeding/Abstract 349 views 59 downloads

Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification

Ali Guran, Avishek Siris, Gary Tam Orcid Logo, James Chess, Xianghua Xie Orcid Logo

Lecture Notes in Computer Science, Volume: 16039, Pages: 17 - 30

Swansea University Authors: Ali Guran, Avishek Siris, Gary Tam Orcid Logo, Xianghua Xie Orcid Logo

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Published in: Lecture Notes in Computer Science
ISBN: 9783032006554 9783032006561
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2026
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69645
first_indexed 2025-06-08T12:53:13Z
last_indexed 2025-09-16T07:25:38Z
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spelling 2025-09-15T17:19:04.9883190 v2 69645 2025-06-08 Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification dbd9ce8727a04dc1a8b409cea27f7eea Ali Guran Ali Guran true false 896b738a2b485a166c052d94bca5fa68 Avishek Siris Avishek Siris true false e75a68e11a20e5f1da94ee6e28ff5e76 0000-0001-7387-5180 Gary Tam Gary Tam true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2025-06-08 Conference Paper/Proceeding/Abstract Lecture Notes in Computer Science 16039 17 30 Springer Nature Switzerland Cham 9783032006554 9783032006561 0302-9743 1611-3349 Chronic kidney disease; Classification 1 1 2026 2026-01-01 10.1007/978-3-032-00656-1_2 COLLEGE NANME COLLEGE CODE Swansea University Not Required Ali Guran was funded by the Turkish Ministry of National Education through the Postgraduate Study Abroad Program. Gary Tam received support from the CHERISH-DE Centre via the International Mobil- ity Award [62] and the Collaboration and Knowledge Exchange Support [92S] (EP/M022722/1). This work was also partially supported by the EPSRC National Edge AI Hub (EP/Y007697/1). This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research. The responsibility for the interpretation of the information we supplied is the authors’ alone. All research conducted has been completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) project number 1220. For Open Access, the author has applied a CC BY license to any Author Accepted Manuscript resulting from this submission. EP/M022722/1, EP/Y007697/1 2025-09-15T17:19:04.9883190 2025-06-08T13:49:47.5569451 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ali Guran 1 Avishek Siris 2 Gary Tam 0000-0001-7387-5180 3 James Chess 4 Xianghua Xie 0000-0002-2701-8660 5 69645__34417__5e4c05e6b29b4343b0838c73682da8b9.pdf AIiH_2025.pdf 2025-06-08T13:53:00.2032219 Output 340997 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
spellingShingle Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
Ali Guran
Avishek Siris
Gary Tam
Xianghua Xie
title_short Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
title_full Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
title_fullStr Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
title_full_unstemmed Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
title_sort Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-method Framework for CKD Classification
author_id_str_mv dbd9ce8727a04dc1a8b409cea27f7eea
896b738a2b485a166c052d94bca5fa68
e75a68e11a20e5f1da94ee6e28ff5e76
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv dbd9ce8727a04dc1a8b409cea27f7eea_***_Ali Guran
896b738a2b485a166c052d94bca5fa68_***_Avishek Siris
e75a68e11a20e5f1da94ee6e28ff5e76_***_Gary Tam
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Ali Guran
Avishek Siris
Gary Tam
Xianghua Xie
author2 Ali Guran
Avishek Siris
Gary Tam
James Chess
Xianghua Xie
format Conference Paper/Proceeding/Abstract
container_title Lecture Notes in Computer Science
container_volume 16039
container_start_page 17
publishDate 2026
institution Swansea University
isbn 9783032006554
9783032006561
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-032-00656-1_2
publisher Springer Nature Switzerland
college_str Faculty of Science and Engineering
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hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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published_date 2026-01-01T17:58:17Z
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