Adaptive multi-cognitive objective temporal task approach for predicting AD progression

Fan, X., Zhou, M., Zhang, Y. et al. (3 more authors) (2025) Adaptive multi-cognitive objective temporal task approach for predicting AD progression. In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE BIBM, 03-06 Dec 2024, Lisbon, Portugal. Institute of Electrical and Electronics Engineers (IEEE) , pp. 1933-1938. ISBN 979-8-3503-8623-3

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Item Type: Proceedings Paper
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© 2024 The Authors. Except as otherwise noted, this author-accepted version of a proceedings paper published in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Adaptation models; Magnetic resonance imaging; Biological system modeling; Biomarkers; Predictive models; Prediction algorithms; Stability analysis; Sparse matrices; Alzheimer's disease; Tuning
Dates:
  • Published: 10 January 2025
  • Published (online): 10 January 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 18 Feb 2025 11:00
Last Modified: 18 Feb 2025 11:00
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/bibm62325.2024.10822758
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