Using Machine Learning to Predict Unplanned Hospital Utilisation and Chemotherapy Management from Patient-Reported Outcome Measures

Wojcik, Z. orcid.org/0009-0007-6214-7736, Dimitrova, V. orcid.org/0000-0002-7001-0891, Warrington, L. orcid.org/0000-0002-8389-6134 et al. (2 more authors) (2024) Using Machine Learning to Predict Unplanned Hospital Utilisation and Chemotherapy Management from Patient-Reported Outcome Measures. JCO Clinical Cancer Informatics, 8. e2300264. ISSN 2473-4276

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Item Type: Article
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© 2024 by American Society of Clinical Oncology. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Humans; Neoplasms; Antineoplastic Agents; Hospitalization; Quality of Life; Adult; Aged; Middle Aged; Female; Male; Machine Learning; Surveys and Questionnaires; Patient Reported Outcome Measures
Dates:
  • Published: April 2024
  • Published (online): 26 April 2024
  • Accepted: 1 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Oncology
Depositing User: Symplectic Publications
Date Deposited: 30 Apr 2024 12:53
Last Modified: 30 Apr 2024 12:57
Status: Published
Publisher: American Society of Clinical Oncology
Identification Number: 10.1200/cci.23.00264
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