Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data.
- DOI
- 10.1016/j.jadr.2026.101102
- Published
- 2026 Jul
- Container
- Journal of affective disorders reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jadr.2026.101102,
title = {Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data.},
author = {Langener AM and Price GD and Haddox D and Heinz MV and Mackin DM and Nemesure MD and Collins AC and Lekkas D and Griffin TZ and Pillai A and Nepal S and Campbell AT and Jacobson NC},
year = {2026},
journal = {Journal of affective disorders reports},
doi = {10.1016/j.jadr.2026.101102},
url = {https://doi.org/10.1016/j.jadr.2026.101102}
}RIS
TY - JOUR TI - Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data. AU - Langener AM AU - Price GD AU - Haddox D AU - Heinz MV AU - Mackin DM AU - Nemesure MD AU - Collins AC AU - Lekkas D AU - Griffin TZ AU - Pillai A AU - Nepal S AU - Campbell AT AU - Jacobson NC PY - 2026 JO - Journal of affective disorders reports DO - 10.1016/j.jadr.2026.101102 UR - https://doi.org/10.1016/j.jadr.2026.101102 ER -
APA
AM, L., GD, P., D, H., MV, H., DM, M., MD, N., AC, C., D, L., TZ, G., A, P., S, N., AT, C., & NC, J. (2026). Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data.. Journal of affective disorders reports. https://doi.org/10.1016/j.jadr.2026.101102
Source records
- pubmed · retrieved 2026-09-25T23:59:23.890Z