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Citing this Article

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Published on 10.08.16 in Vol 5, No 3 (2016): Jul-Sept

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.5551):

(note that this is only a small subset of citations)

  1. 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
  2. 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
  3. 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
  4. Hripcsak G, Albers DJ. High-fidelity phenotyping: richness and freedom from bias. Journal of the American Medical Informatics Association 2018;25(3):289
  5. Luhmann M. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28
  6. Politou E, Alepis E, Patsakis C. A survey on mobile affective computing. Computer Science Review 2017;25:79

According to Crossref, the following books are citing this article (DOI 10.2196/resprot.5551)

  1. Rozgonjuk D, Elhai JD, Hall BJ. Digital Phenotyping and Mobile Sensing. 2019. Chapter 11:185
  2. Ebert DD, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. 2019. Chapter 29:583
  3. Nenko A, Petrova M. Digital Transformation and Global Society. 2018. Chapter 8:95