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

Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review

Journals

  1. 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