Search results

• 2024

  Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study

  Zhang, Y., Folarin, A. A., Ranjan, Y., Cummins, N., Rashid, Z., Conde, P., Stewart, C., Sun, S., Vairavan, S., Matcham, F., Oetzmann, C., Siddi, S., Lamers, F., Simblett, S., Wykes, T., Mohr, D. C., Haro, J. M., Penninx, B. W. J. H., Narayan, V. A., Hotopf, M., & 3 othersDobson, R. J. B., Pratap, A. & consortium, RADAR-CNS., 17 Apr 2024.

  Research output: Working paper/Preprint › Preprint

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• 2023

  Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

  Zhang, Y., Folarin, A. A., Dineley, J., Conde, P., Angel, V. D., Sun, S., Ranjan, Y., Rashid, Z., Stewart, C., Laiou, P., Sankesara, H., Qian, L., Matcham, F., White, K. M., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Schuller, B. W., Vairavan, S., & 8 othersWykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Hotopf, M., Dobson, R. JB., Cummins, N. & consortium, RADAR-CNS., 22 Aug 2023.

  Research output: Working paper/Preprint › Preprint

  File
  83 Downloads (Pure)