Published on in Vol 5, No 3 (2016): Jul-Sept

Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

Journals

  1. Kim H, Lee S, Lee S, Hong S, Kang H, Kim N. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone. JMIR mHealth and uHealth 2019;7(10):e14149 View
  2. Luhmann M. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28 View
  3. Sarda A, Munuswamy S, Sarda S, Subramanian V. Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2019;7(1):e11041 View
  4. Zhang J, Pan Z, Gui C, Xue T, Lin Y, Zhu J, Cui D. Analysis on speech signal features of manic patients. Journal of Psychiatric Research 2018;98:59 View
  5. Politou E, Alepis E, Patsakis C. A survey on mobile affective computing. Computer Science Review 2017;25:79 View
  6. Hripcsak G, Albers D. High-fidelity phenotyping: richness and freedom from bias. Journal of the American Medical Informatics Association 2018;25(3):289 View
  7. Yim S, Lui L, Lee Y, Rosenblat J, Ragguett R, Park C, Subramaniapillai M, Cao B, Zhou A, Rong C, Lin K, Ho R, Coles A, Majeed A, Wong E, Phan L, Nasri F, McIntyre R. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders 2020;274:602 View
  8. Balaskas A, Schueller S, Cox A, Doherty G, Myers B. Ecological momentary interventions for mental health: A scoping review. PLOS ONE 2021;16(3):e0248152 View
  9. Basantani A, Kesarwani Y, Bhatia S, Jain S. EmoCure: Utilising Social Media Data and Smartphones to Predict and Cure Depression. IOP Conference Series: Materials Science and Engineering 2021;1110(1):012010 View
  10. Sadeghian A, Kaedi M. Happiness recognition from smartphone usage data considering users’ estimated personality traits. Pervasive and Mobile Computing 2021;73:101389 View

Books/Policy Documents

  1. Nenko A, Petrova M. Digital Transformation and Global Society. View
  2. Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
  3. Rozgonjuk D, Elhai J, Hall B. Digital Phenotyping and Mobile Sensing. View
  4. Bhatia S, Kesarwani Y, Basantani A, Jain S. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. View
  5. Beierle F. Integrating Psychoinformatics with Ubiquitous Social Networking. View
  6. Beierle F. Integrating Psychoinformatics with Ubiquitous Social Networking. View