Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools

Briggs, E orcid.org/0000-0003-0757-6187, de Kamps, M orcid.org/0000-0001-7162-4425, Hamilton, W et al. (3 more authors) (2022) Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools. Cancers, 14 (20). 5023. ISSN 2072-6694

Abstract

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Copyright, Publisher and Additional Information: © 2022 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: early detection; cancer diagnosis; electronic health record; machine learning; oesophago gastric cancer; primary care; risk-assessment
Dates:
  • Accepted: 12 October 2022
  • Published (online): 14 October 2022
  • Published: 14 October 2022
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: 08 Jun 2023 13:30
Last Modified: 08 Jun 2023 13:30
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/cancers14205023
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