Explainable AI predicting Alzheimer’s disease with latent multimodal deep neural networks
Our results demonstrated the attention multimodal model's superior performance in predicting the cognitive impairment of AD, introducing attention layers into the model enhanced the prediction performance.
Authors
- Zijun Yao (ORCID: https://orcid.org/0000-0003-3647-8770)
- Jeffrey Thompson (ORCID: https://orcid.org/0000-0002-0876-2582)
- Rishav Mukherjee
- Jonah Amponsah
- Jinxiang Hu (ORCID: https://orcid.org/0000-0002-8812-722X)
- Joseph C. Cappelleri (ORCID: https://orcid.org/0000-0001-9586-0748)
- Xi Chen (ORCID: https://orcid.org/0009-0004-0860-1617)
Institutions
- University of Kansas (US)
- Pfizer (United States) (US)
- University of Kansas Medical Center (US)
Publication Details
- Journal
- Journal of Biopharmaceutical Statistics
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1080/10543406.2025.2511194
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- University of Kansas