Deep Learning and Geriatric Mental Health
Document Type
Journal Article
Publication Date
3-1-2024
Journal
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
Volume
32
Issue
3
DOI
10.1016/j.jagp.2023.11.008
Keywords
Deep learning; geriatric mental health; machine learning; neuroimaging
Abstract
The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the underlying data science principles. We also review current promising applications and identify ethical issues that bear consideration. Deep Learning is a new type of machine learning that is remarkably good at finding patterns in data, and in some cases generating realistic new data. We provide insights into how deep learning works and discuss its relevance to geriatric psychiatry.
APA Citation
Aizenstein, Howard; Moore, Raeanne C.; Vahia, Ipsit; and Ciarleglio, Adam, "Deep Learning and Geriatric Mental Health" (2024). GW Authored Works. Paper 4638.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/4638
Department
Biostatistics and Bioinformatics