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

Digital Biomarkers and Digital Phenotyping (236) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (930) New Methods (1053) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1613) Depression and Mood Disorders; Suicide Prevention (1555)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19046, first published .
Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study

Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study

Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study

Authors of this article:

Yameng Wang1, 2 Author Orcid Image ;   Xiaotong Ren3 Author Orcid Image ;   Xiaoqian Liu1, 4 Author Orcid Image ;   Tingshao Zhu1, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Journals

  1. Lazarotto Schroeder G, Heckler W, Francisco R, Barbosa J. Problematic smartphone use on mental health: a systematic mapping study and taxonomy. Behaviour & Information Technology 2023;42(16):2808 View
  2. Harvey P, Depp C, Rizzo A, Strauss G, Spelber D, Carpenter L, Kalin N, Krystal J, McDonald W, Nemeroff C, Rodriguez C, Widge A, Torous J. Technology and Mental Health: State of the Art for Assessment and Treatment. American Journal of Psychiatry 2022;179(12):897 View
  3. MacLeod L, Suruliraj B, Gall D, Bessenyei K, Hamm S, Romkey I, Bagnell A, Mattheisen M, Muthukumaraswamy V, Orji R, Meier S. A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study. JMIR mHealth and uHealth 2021;9(10):e20638 View
  4. Aalbers G, Hendrickson A, Vanden Abeele M, Keijsers L. Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis. JMIR mHealth and uHealth 2023;11:e37469 View
  5. Sharma D, Naveen Krishan Goel , Sidana A, Shefali Kaura , Sehgal M. Prevalence of Smartphone Addiction and its Relation with Depression among School-going Adolescents. Indian Journal of Community Health 2023;35(1):27 View
  6. Zierer C, Behrendt C, Lepach-Engelhardt A. Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering. Journal of Affective Disorders 2024;356:438 View
  7. Majalekar P, Shirote P. Molecular Docking Insights into Gatifloxacin Derivatives as Prospective Antidepressant Agents. Biosciences Biotechnology Research Asia 2024;21(3):1255 View

Conference Proceedings

  1. Bowie-DaBreo D, Sas C, Iles-Smith H, Sünram-Lea S. CHI Conference on Human Factors in Computing Systems. User Perspectives and Ethical Experiences of Apps for Depression: A Qualitative Analysis of User Reviews View
  2. Xenakis D, Samikwa E, Ajayi J, Maio A, Braun T, Schlegel K. 2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet). Towards Personality Detection and Prediction using Smartphone Sensor Data View
  3. Teng S, D'Alfonso S, Kostakos V. Proceedings of the CHI Conference on Human Factors in Computing Systems. A Tool for Capturing Smartphone Screen Text View
  4. Begum S, Yunus Sait S. 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). Machine Learning-Based Depression Detection via Twitter Metadata View