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Temporal Context Matters: An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-0264-8762
Halmstad University, School of Information Technology.ORCID iD: 0000-0003-2006-6229
2023 (English)In: Caring is Sharing – Exploiting the Value in Data for Health and Innovation: Proceedings of MIE 2023 / [ed] Hägglund, Maria et al., Amsterdam: IOS Press, 2023, Vol. 302, p. 613-614Conference paper, Published paper (Refereed)
Abstract [en]

The prediction of medical resource utilization is beneficial for effective healthcare resource planning and allocation. Previous work in resource utilization prediction can be categorized into two main classes, count-based and trajectory-based. Both of these classes have some challenges, in this work we propose a hybrid approach to overcome these challenges. Our initial results promote the value of temporal context in resource utilization prediction and highlight the importance of model explainability in understanding the main important variables. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2023. Vol. 302, p. 613-614
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 302
Keywords [en]
Deep Learning, Electronic Health Records, Resources Utilization, XAI
National Category
Urology and Nephrology
Research subject
Health Innovation, Information driven care
Identifiers
URN: urn:nbn:se:hh:diva-51460DOI: 10.3233/SHTI230219PubMedID: 37203762Scopus ID: 2-s2.0-85159755814ISBN: 978-1-64368-388-1 (print)ISBN: 978-1-64368-389-8 (electronic)OAI: oai:DiVA.org:hh-51460DiVA, id: diva2:1794394
Conference
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, Sweden, 22-25 May, 2023
Available from: 2023-09-05 Created: 2023-09-05 Last updated: 2023-09-11Bibliographically approved

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Hamed, OmarSoliman, AmiraEtminani, Kobra

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CiteExportLink to record
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  • apa
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