Machine learning models for diagnosing Alzheimer’s disease using brain cortical complexity
The FD model showed favorable diagnostic performance for AD. Among MLMs, the MoCA + FD model can predict AD with the highest efficiency and could be used as a non-invasive diagnostic method.
Authors
- Shaofan Jiang (ORCID: https://orcid.org/0000-0001-8480-7343)
- Rifeng Jiang (ORCID: https://orcid.org/0000-0001-6959-0027)
- Kaiji Deng
- Yunjing Xue (ORCID: https://orcid.org/0000-0002-0739-145X)
- Siyu Yang (ORCID: https://orcid.org/0009-0006-0455-0490)
Institutions
- Fujian Medical University (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2024-10-09
- DOI
- https://doi.org/10.3389/fnagi.2024.1434589
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Alzheimer's Disease Neuroimaging Initiative