<scp>EEG</scp> datasets for seizure detection and prediction— A reviewSheng Wong, Terence J. O’Brien, Jessica Rivera‐Villicana et al.|Epilepsia Open|2023Cited by 85
Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: the Vibe Up studyKit Huckvale, Helen Christensen, Sunil Gupta et al.|BMJ Open|2023Cited by 22
Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotypingArtur Shvetcov, Helen Christensen, Joost Funke Kupper et al.|Frontiers in Psychiatry|2024Cited by 8
Machine learning identifies a COVID-19-specific phenotype in university students using a mental health appArtur Shvetcov, Jill M. Newby, Alexis E. Whitton et al.|Internet Interventions|2023Cited by 6
Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive TrialWu Yi Zheng, Jill M. Newby, Artur Shvetcov et al.|Journal of Medical Internet Research|2024Cited by 5