HIGHLIGHTS
- What: While the current models focus primarily on identifying existing depression of any duration there is a need for advancements that enable the anticipation of future depressive episodes. Despite the incorporation of deep learning methodologies in the investigation, the focus was not specific to remote techniques. This was achieved by pursuing the following aims and objectives: Aims and Objectives The aim of this systematic literature review was to examine the research on using remote-based deep learning predictive algorithms for detecting symptom variability in depression, including onset, offset, and progression.
- Who: Fintan Haley from the . . .
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