A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices

Berron, D. orcid.org/0000-0003-1558-1883, Glanz, W., Clark, L. et al. (18 more authors) (2024) A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. npj Digital Medicine, 7. 79. ISSN 2398-6352

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Item Type: Article
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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Alzheimer's disease; Diagnostic markers; Human behaviour
Dates:
  • Published: 26 March 2024
  • Published (online): 26 March 2024
  • Accepted: 3 January 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 12 Jun 2024 15:08
Last Modified: 12 Jun 2024 15:08
Published Version: http://dx.doi.org/10.1038/s41746-024-00999-9
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s41746-024-00999-9
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