Machine Learning Models Predicting Hospital Admissions During Chemotherapy Utilising Longitudinal Symptom Severity Reports and Patient-Reported Outcome Measures

Wojcik, Z. orcid.org/0009-0007-6214-7736, Dimitrova, V., Warrington, L. et al. (3 more authors) (2025) Machine Learning Models Predicting Hospital Admissions During Chemotherapy Utilising Longitudinal Symptom Severity Reports and Patient-Reported Outcome Measures. In: Andrikopoulou, E., Gallos, P., Arvanitis, T.N., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. and Scott, P., (eds.) Intelligent Health Systems – From Technology to Data and Knowledge. Medical Informatics Europe, 19-21 May 2025, Glasgow, Scotland. Studies in Health Technology and Informatics, 327 . IOS Press , pp. 178-182. ISBN 978-1-64368-596-0

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Andrikopoulou, E.
  • Gallos, P.
  • Arvanitis, T.N.
  • Austin, R.
  • Benis, A.
  • Cornet, R.
  • Chatzistergos, P.
  • Dejaco, A.
  • Dusseljee-Peute, L.
  • Mohasseb, A.
  • Natsiavas, P.
  • Nakkas, H.
  • Scott, P.
Copyright, Publisher and Additional Information:

© 2025 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

Keywords: Patient-reported data; Hospital admissions predictions; ML
Dates:
  • Published (online): 15 May 2025
  • Published: 15 May 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 May 2025 16:37
Last Modified: 29 May 2025 16:37
Status: Published
Publisher: IOS Press
Series Name: Studies in Health Technology and Informatics
Identification Number: 10.3233/SHTI250297
Open Archives Initiative ID (OAI ID):

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