Yatharth Ranjan – Research output — King's College London

Institute of Psychiatry
De Crespigny Park
London
United Kingdom

469

Citations

25 Article
5 Preprint
3 Conference paper
2 Review article
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5 results

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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

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Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Stewart, C., Conde, P., Sankesara, H., Laiou, P., Matcham, F., White, K. M., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Vairavan, S., Myin-Germeys, I., Mohr, D. C., Wykes, T., & 7 othersHaro, J. M., Annas, P., Penninx, B. WJH., Narayan, V. A., Hotopf, M., Dobson, R. JB. & consortium, RADAR-CNS., 5 Dec 2023.
Research output: Working paper/Preprint › Preprint

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47 Downloads (Pure)
2022
Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Vairavan, S., Qian, L., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Sankesara, H., Matcham, F., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Simblett, S., Rintala, A., & 10 othersMohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Annas, P., Hotopf, M., Dobson, R. JB. & consortium, RADAR-CNS., 29 Jan 2022.
Research output: Working paper/Preprint › Preprint

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46 Downloads (Pure)
2021
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Rintala, A., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Pennix, B. WJH., & 4 othersNarayan, V. A., Annas, P., Hotopf, M. & Dobson, R. JB., 26 Apr 2021.
Research output: Working paper/Preprint › Preprint

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34 Downloads (Pure)

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