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

Formative Evaluation of Digital Health Interventions (2410) Digital Biomarkers and Digital Phenotyping (191) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Anxiety and Stress Disorders (1053) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 4, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18751, first published .
The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study

The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study

The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study

Authors of this article:

Daniel Di Matteo1 Author Orcid Image ;   Kathryn Fotinos2 Author Orcid Image ;   Sachinthya Lokuge2 Author Orcid Image ;   Julia Yu2 Author Orcid Image ;   Tia Sternat2, 3 Author Orcid Image ;   Martin A Katzman2, 3, 4, 5 Author Orcid Image ;   Jonathan Rose1 Author Orcid Image
Article Authors Cited by (25) Tweetations (2) Metrics

Journals

  1. Di Matteo D, Wang W, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman M, Rose J. Smartphone-Detected Ambient Speech and Self-Reported Measures of Anxiety and Depression: Exploratory Observational Study. JMIR Formative Research 2021;5(1):e22723 View
  2. Di Matteo D, Fotinos K, Lokuge S, Mason G, Sternat T, Katzman M, Rose J. Automated Screening for Social Anxiety, Generalized Anxiety, and Depression From Objective Smartphone-Collected Data: Cross-sectional Study. Journal of Medical Internet Research 2021;23(8):e28918 View
  3. 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
  4. Langener A, Stulp G, Kas M, Bringmann L. Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review. JMIR Mental Health 2023;10:e42646 View
  5. Teferra B, Rose J. Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study. JMIR Mental Health 2023;10:e44325 View
  6. Tlachac M, Flores R, Reisch M, Kayastha R, Taurich N, Melican V, Bruneau C, Caouette H, Lovering J, Toto E, Rundensteiner E. StudentSADD. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  7. Tlachac M, Flores R, Reisch M, Houskeeper K, Rundensteiner E. DepreST-CAT. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  8. Yadav U, Sharma A, Patil D. Review of automated depression detection: Social posts, audio and video, open challenges and future direction. Concurrency and Computation: Practice and Experience 2023;35(1) View
  9. Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
  10. Teferra B, Borwein S, DeSouza D, Rose J. Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study. JMIR Formative Research 2022;6(10):e39998 View
  11. Teferra B, Borwein S, DeSouza D, Simpson W, Rheault L, Rose J. Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study. JMIR Mental Health 2022;9(7):e36828 View
  12. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  13. Peerenboom N, Aryal S, Blankenship J, Swibas T, Zhai Y, Clay I, Lyden K. The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder. Digital Biomarkers 2023;7(1):124 View
  14. Tlachac M, Shrestha A, Shah M, Litterer B, Rundensteiner E. Automated Construction of Lexicons to Improve Depression Screening With Text Messages. IEEE Journal of Biomedical and Health Informatics 2023;27(6):2751 View
  15. Shin J, Bae S. A Systematic Review of Location Data for Depression Prediction. International Journal of Environmental Research and Public Health 2023;20(11):5984 View
  16. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  17. Tlachac M, Heinz M, Reisch M, Ogden S. Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(1):1 View
  18. Islam M, Hassan S, Akter S, Jibon F, Sahidullah M. A comprehensive review of predictive analytics models for mental illness using machine learning algorithms. Healthcare Analytics 2024;6:100350 View

Books/Policy Documents

  1. Tlachac M, Flores R, Toto E, Rundensteiner E. Deep Learning Applications, Volume 4. View
  2. Heinz M, Price G, Song S, Bhattacharya S, Jacobson N. Digital Mental Health. View