Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

@article{corponi2023,
  title = {Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning},
  author = {Filippo Corponi and Bryan M. Li and Gerard Anmella and Claudia Valenzuela-Pascual and Ariadna Mas and Isabella Pacchiarotti and Marc Valenti and Iria Grande and Antonio Benabarre and Marina Garriga and Eduard Vieta and Allan H Young and Stephen M. Lawrie and Heather C. Whalley and Diego Hidalgo-Mazzei and Antonio Vergari},
  journal = {JMIR mHealth and uHealth},
  year = {2023},
  month = {Nov},
  doi = {10.2196/55094},
  url = {https://doi.org/10.2196/55094},
}

Filippo Corponi et al. (2023). Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning. JMIR mHealth and uHealth. https://doi.org/10.2196/55094

Filippo Corponi, et al.. "Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning." JMIR mHealth and uHealth, 2023, https://doi.org/10.2196/55094.

Filippo Corponi, et al.. "Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning." JMIR mHealth and uHealth (2023). https://doi.org/10.2196/55094

Filippo Corponi et al., 2023. Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning. JMIR mHealth and uHealth. Available at: <https://doi.org/10.2196/55094>.

TY  - JOUR
TI  - Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
AU  - Filippo Corponi
AU  - Bryan M. Li
AU  - Gerard Anmella
AU  - Claudia Valenzuela-Pascual
AU  - Ariadna Mas
AU  - Isabella Pacchiarotti
AU  - Marc Valenti
AU  - Iria Grande
AU  - Antonio Benabarre
AU  - Marina Garriga
AU  - Eduard Vieta
AU  - Allan H Young
AU  - Stephen M. Lawrie
AU  - Heather C. Whalley
AU  - Diego Hidalgo-Mazzei
AU  - Antonio Vergari
PY  - 2023
JO  - JMIR mHealth and uHealth
DO  - 10.2196/55094
UR  - https://doi.org/10.2196/55094
ER  -