Random Forest Classifiers to predict psychotic symptoms in Alzheimer’s disease
The results of this study indicate (albeit preliminarily) that a machine learning technique such as the Random Forest Classifier can be used to advance our understanding of the complex interaction of different predictors in the manifestation of psychotic symptoms in AD.
Authors
- Yashar Moshfeghi (ORCID: https://orcid.org/0000-0003-4186-1088)
- William J. McGeown (ORCID: https://orcid.org/0000-0001-7943-5901)
- Sara Scarfo (ORCID: https://orcid.org/0009-0000-7052-5732)
Institutions
- University of Strathclyde (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.092242
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00