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Citing this Article

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Published on 10.08.17 in Vol 5, No 8 (2017): August

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

Works citing "Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7297):

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

  1. Obuchi M, Huckins JF, Wang W, daSilva A, Rogers C, Murphy E, Hedlund E, Holtzheimer P, Mirjafari S, Campbell A. Predicting Brain Functional Connectivity Using Mobile Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(1):1
    CrossRef
  2. Berman AL, Carter G. Technological Advances and the Future of Suicide Prevention: Ethical, Legal, and Empirical Challenges. Suicide and Life-Threatening Behavior 2019;
    CrossRef
  3. Jones M, Johnson M, Shervey M, Dudley JT, Zimmerman N. Privacy-Preserving Methods for Feature Engineering Using Blockchain: Review, Evaluation, and Proof of Concept. Journal of Medical Internet Research 2019;21(8):e13600
    CrossRef
  4. Trifan A, Oliveira M, Oliveira JL. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649
    CrossRef
  5. Seppälä J, De Vita I, Jämsä T, Miettunen J, Isohanni M, Rubinstein K, Feldman Y, Grasa E, Corripio I, Berdun J, D'Amico E, Bulgheroni M. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Mental Health 2019;6(2):e9819
    CrossRef
  6. Liu T, Nicholas J, Theilig MM, Guntuku SC, Kording K, Mohr DC, Ungar L. Machine Learning for Phone-Based Relationship Estimation. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(4):1
    CrossRef
  7. Pratap A, Atkins DC, Renn BN, Tanana MJ, Mooney SD, Anguera JA, Areán PA. The accuracy of passive phone sensors in predicting daily mood. Depression and Anxiety 2019;36(1):72
    CrossRef
  8. Burgess ER, Ringland KE, Nicholas J, Knapp AA, Eschler J, Mohr DC, Reddy MC. "I think people are powerful". Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  9. Miralles I, Granell C. Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions. International Journal of Environmental Research and Public Health 2019;16(7):1197
    CrossRef
  10. Boukhechba M, Chow P, Fua K, Teachman BA, Barnes LE. Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study. JMIR Mental Health 2018;5(3):e10101
    CrossRef
  11. Pisco Almeida AM, Almeida HS, Figueiredo-Braga M. Mobile solutions in depression: enhancing communication with patients using an SMS-based intervention. Procedia Computer Science 2018;138:89
    CrossRef
  12. Pulantara IW, Parmanto B, Germain A. Development of a Just-in-Time Adaptive mHealth Intervention for Insomnia: Usability Study. JMIR Human Factors 2018;5(2):e21
    CrossRef
  13. Pulantara IW, Parmanto B, Germain A. Clinical Feasibility of a Just-in-Time Adaptive Intervention App (iREST) as a Behavioral Sleep Treatment in a Military Population: Feasibility Comparative Effectiveness Study. Journal of Medical Internet Research 2018;20(12):e10124
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7297)

:
  1. Iyawa GE, Ondiek CO, Osakwe JO. Smart Medical Data Sensing and IoT Systems Design in Healthcare. 2020. chapter 1:1
    CrossRef