Predicting incident delirium diagnoses using data from primary-care electronic health records

Bowman, K, Jones, L, Masoli, J et al. (7 more authors) (2020) Predicting incident delirium diagnoses using data from primary-care electronic health records. Age and Ageing. ISSN 0002-0729

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: delirium, confusion, at home, medical records, predictive model, older people
Dates:
  • Published (online): 2 April 2020
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 Health Economics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Apr 2020 15:46
Last Modified: 15 Apr 2020 15:46
Status: Published online
Publisher: Oxford University Press (OUP)
Identification Number: https://doi.org/10.1093/ageing/afaa006

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