Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study
Zulueta, John, Piscitello, Andrea, Rasic, Mladen, Easter, Rebecca, Babu, Pallavi, Langenecker, Scott A, McInnis, Melvin, Ajilore, Olusola +3 more·2018·Journal of Medical Internet Research
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- Additional file 1 of Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidenceZarate, Daniel, Stavropoulos, Vasileios, Ball, Michelle, de Sena Collier, Gabriel, Nicholas C. Jacobson · 2022 · Figshare
- Additional file 3 of Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture ModelsAbigail Ortiz, Yunkyung Park, Christina Gonzalez‐Torres, Alda, Martin, Daniel M. Blumberger, Rachael Burnett, Husain, M. Ishrat, Marcos Sanches, Mulsant, Benoit H. · 2023 · Figshare
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- Digital Markers for Passive Remote Monitoring of Bipolar Disorder: Systematic ReviewThomas P. Kutcher, Isha Chakraborty, Kristin M. Kostick, Akane Sano, Nidal J. Moukaddam, Jeffrey A. Herron, Wayne K. Goodman, Sameer Anil Sheth, Ashutosh Sabharwal, Nicole R. Provenza · 2026 · JMIR Mental Health
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