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V. Farrahi

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Open access Aug 2026

Wearable Prompt: In-Context Learning for Depression and Anxiety Prediction from Consumer Smart Ring Metrics

It is suggested that lightweight LLMs can use in-context examples to better interpret structured wearable summaries and possibly provide a scalable direction for mental health prediction from consumer wearable data in combination with pre-trained LLMs.

S. Azadifar, A. Sameh, M. Niemela et al. · 0 citations

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