Advancing digital sensing in mental health research
Abstract Digital sensing tools, like smartphones and wearables, offer transformative potential for mental health research by enabling scalable, longitudinal data collection. Realizing this promise requires overcoming significant challenges including limited data standards, underpowered studies, and...
Saved in:
| Main Authors: | Samir Akre, Darsol Seok, Christopher Douglas, Adrian Aguilera, Simona Carini, Jessilyn Dunn, Matthew Hotopf, David C. Mohr, Alex A. T. Bui, Nelson B. Freimer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01343-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
by: Brinnae Bent, et al.
Published: (2021-01-01) -
Mini-mental state examination as a predictor of mortality among older people referred to secondary mental healthcare.
by: Yu-Ping Su, et al.
Published: (2014-01-01) -
Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance
by: Samir Akre, et al.
Published: (2025-02-01) -
Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic
by: Jessilyn Dunn, et al.
Published: (2025-01-01) -
Knowledge and understanding of information after taking decision to participate or not in a randomized trial of surgery vs radiotherapy among patients with locally advanced prostate cancer – an observational study
by: Yvonne Brandberg, et al.
Published: (2025-01-01)