Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care
We developed a novel, lightweight, explainable, and personalized Graph Barlow Twins model for real-world remote health monitoring in dementia care, with potential for broader applications in healthcare and sensor-based environments.
Authors
- Samaneh Kouchaki (ORCID: https://orcid.org/0000-0002-5870-4030)
- Nivedita Bijlani (ORCID: https://orcid.org/0000-0001-9862-4732)
- Ramin Nilforooshan (ORCID: https://orcid.org/0000-0001-9801-183X)
- Oscar Méndez (ORCID: https://orcid.org/0000-0003-4904-4349)
- Payam Barnaghi (ORCID: https://orcid.org/0000-0001-8591-9638)
Institutions
- University of Surrey (GB)
- UK Dementia Research Institute (GB)
- Surrey and Borders Partnership NHS Foundation Trust (GB)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.109287
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.42
Funders
- Engineering and Physical Sciences Research Council