Vairavan, Srinivasan

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 110

Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis

Ahmed, A., Vairavan, S., Akhoundi, A., Wilson, G., Chiofolo, C., Chbat, N., Cartin-Ceba, R., Li, G., & Kashani, K. (2015) · Journal of Critical Care

Acute Kidney Injury ResearchHealthcare Technology and Patient Monitoring

Cited by 73

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Nie, Z., Vairavan, S., Narayan, V. A., Ye, J., & Li, Q. S. (2018) · PLOS ONE

Treatment of Major DepressionArtificial Intelligence in Healthcare

Cited by 62

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine

Heart Rate Variability and Autonomic ControlMental Health Research Topics

Cited by 31

Personalized relapse prediction in patients with major depressive disorder using digital biomarkers

Vairavan, S., Rashidisabet, H., Li, Q. S., Ness, S., Morrison, R. L., Soares, C. N., Uher, R., Frey, B. N., Lam, R. W., Kennedy, S. H., et al. (2023) · Scientific Reports

Mental Health Research TopicsContext-Aware Activity Recognition Systems

Cited by 14