Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/57418, first published
.
Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review
Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review
Journals
- Priestley K, Laijawala R, Hazelgrove K, Bind R, Rebecchini L, Mariani N, Alford S, Kirkpatrick M, Mancino F, Kim S, Pushpakanthan S, Biaggi A, Cavaliere L, Di Benedetto M, Matijaš M, Žutić M, Brekalo M, Nakić Radoš S, Żukowska K, Braniecka A, Jackowska M, Bessi M, Agnoletto E, Melloni E, Benedetti F, Bulgheroni M, La Gamba M, Martín Isla C, Izquierdo Morcillo C, Lekadir K, Salo V, Seikku T, Räikkönen K, Godara M, Schneider-Schmid U, Entringer S, Buß C, de Barra D, Woods A, Dazzan P, Cattaneo A, Pariante C. HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression. BMJ Open 2026;16(2):e106978 View
- Schat E, Schreuder M, Ceulemans E. Statistical process control for real-time monitoring in clinical psychology: State of the art and future research agenda. Neuroscience Applied 2026;5:106991 View