Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records

Hancox, Z., Kingsbury, S.R., Clegg, A. orcid.org/0000-0001-5972-1097 et al. (2 more authors) (2025) Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records. In: 2024 International Conference on Machine Learning and Applications (ICMLA). 23rd International Conference on Machine Learning and Applications, 18-20 Dec 2024, Miami, Florida, USA. IEEE , pp. 256-263. ISBN 979-8-3503-7489-6

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Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Hip replacement, risk prediction, temporal graphs, electronic health records
Dates:
  • Published: 4 March 2025
  • Published (online): 4 March 2025
  • Accepted: 10 September 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Elderly Care and Rehabilitation (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 Feb 2025 10:49
Last Modified: 28 Mar 2025 15:53
Published Version: https://ieeexplore.ieee.org/document/10903462
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ICMLA61862.2024.00041
Open Archives Initiative ID (OAI ID):

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