Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at, first published .
Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study


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Books/Policy Documents

  1. Hussain F, Stange J, Langenecker S, McInnis M, Zulueta J, Piscitello A, Cao B, Huang H, Yu P, Nelson P, Ajilore O, Leow A. Digital Phenotyping and Mobile Sensing. View
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  4. Hussain F, Stange J, Langenecker S, McInnis M, Zulueta J, Piscitello A, Ross M, Demos A, Vesel C, Rashidisabet H, Cao B, Huang H, Yu P, Nelson P, Ajilore O, Leow A. Digital Phenotyping and Mobile Sensing. View
  5. . The Cambridge Handbook of Community Psychology. View
  6. Tugade M, Tan T, Wachsmuth L, Bradley E. The Cambridge Handbook of Community Psychology. View
  7. Carmi L, Abbas A, Schultebraucks K, Galatzer-Levy I. Mental Health in a Digital World. View
  8. El rhatassi F, El Ghali B, Daoudi N. Proceedings of the 6th International Conference on Big Data and Internet of Things. View
  9. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View
  10. Lee Y, Pham V, Zhang J, Chung T. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. View
  11. Bodenstein K, Paquin V, Sekhon K, Lesage M, Cinalioglu K, Rej S, Vahia I, Sekhon H. Biomarkers in Neuropsychiatry. View