Validation of machine learning models to detect neuropathologies
These results highlight the importance of WMHs as core features of AD and the benefits of using machine learning models that incorporate WMH burden in predicting AD-related neuropathologies. The use of machine learning may prove beneficial in early detection of AD.
Authors
- Farooq Kamal (ORCID: https://orcid.org/0000-0001-5197-3062)
- Mahsa Dadar (ORCID: https://orcid.org/0000-0003-4008-2672)
- Cassandra Morrison (ORCID: https://orcid.org/0000-0002-1087-5770)
- Michael Oliver (ORCID: https://orcid.org/0000-0002-1768-4993)
Institutions
- Douglas Mental Health University Institute (CA)
- Belmont University (US)
- McGill University (CA)
- Carleton University (CA)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.088522
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00