Artificial intelligence for dementia research methods optimization

Bucholc, M., James, C., Khleifat, A.A. et al. (12 more authors) (2023) Artificial intelligence for dementia research methods optimization. Alzheimer's & Dementia. ISSN 1552-5260

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Bucholc, M.
  • James, C.
  • Khleifat, A.A.
  • Badhwar, A.
  • Clarke, N.
  • Dehsarvi, A.
  • Madan, C.R.
  • Marzi, S.J.
  • Shand, C.
  • Schilder, B.M.
  • Tamburin, S.
  • Tantiangco, H.M.
  • Lourida, I.
  • Llewellyn, D.J.
  • Ranson, J.M.
Copyright, Publisher and Additional Information:

© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Keywords: artificial intelligence; classification; clinical utility; deep learning; dementia; generalizability; interpretability; machine learning; methods optimization; regression; replicability; semi-supervised learning; supervised learning; transferability; unsupervised learning
Dates:
  • Published: 28 August 2023
  • Published (online): 28 August 2023
  • Accepted: 23 July 2023
  • Submitted: 3 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 06 Sep 2023 14:34
Last Modified: 06 Sep 2023 15:20
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1002/alz.13441
Related URLs:
Open Archives Initiative ID (OAI ID):

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