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Citing this Article

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Published on 04.07.18 in Vol 5, No 3 (2018): Jul-Sept

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

Works citing "Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study"

Mehdi Boukhechba, Philip Chow, Karl Fua, Bethany A Teachman, Laura E Barnes

JMIR Ment Health 2018 (Jul 04); 5(3):e10101 

According to Crossref, the following articles are citing this article (DOI 10.2196/10101):

(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. . Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795
    CrossRef
  3. Hur J, DeYoung KA, Islam S, Anderson AS, Barstead MG, Shackman AJ. Social context and the real-world consequences of social anxiety. Psychological Medicine 2020;50(12):1989
    CrossRef
  4. Boukhechba M, Cai L, Wu C, Barnes LE. ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors. Smart Health 2019;14:100082
    CrossRef
  5. Pastor N, Khalilian E, Caballeria E, Morrison D, Sanchez Luque U, Matrai S, Gual A, López-Pelayo H. Remote Monitoring Telemedicine (REMOTE) Platform for Patients With Anxiety Symptoms and Alcohol Use Disorder: Protocol for a Case-Control Study. JMIR Research Protocols 2020;9(6):e16964
    CrossRef
  6. Jacobson NC, Summers B, Wilhelm S. Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors. Journal of Medical Internet Research 2020;22(5):e16875
    CrossRef
  7. Cai L, Boukhechba M, Gerber MS, Barnes LE, Showalter SL, Cohn WF, Chow PI. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart Health 2020;15:100086
    CrossRef
  8. Friedmann F, Santangelo P, Ebner-Priemer U, Hill H, Neubauer AB, Rausch S, Steil R, Müller-Engelmann M, Kleindienst N, Bohus M, Fydrich T, Priebe K, Matsumura K. Life within a limited radius: Investigating activity space in women with a history of child abuse using global positioning system tracking. PLOS ONE 2020;15(5):e0232666
    CrossRef
  9. Di Matteo D, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman MA, Rose J. The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study. JMIR Formative Research 2020;4(8):e18751
    CrossRef
  10. Baglione AN, Gong J, Boukhechba M, Wells KJ, Barnes LE. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Computing 2020;19(3):24
    CrossRef
  11. Rashid H, Mendu S, Daniel KE, Beltzer ML, Teachman BA, Boukhechba M, Barnes LE. Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(3):1
    CrossRef
  12. Melcher J, Hays R, Torous J. Digital phenotyping for mental health of college students: a clinical review. Evidence Based Mental Health 2020;23(4):161
    CrossRef
  13. Aydemir T, Şahin M, Aydemir O. A New Method for Activity Monitoring Using Photoplethysmography Signals Recorded by Wireless Sensor. Journal of Medical and Biological Engineering 2020;40(6):934
    CrossRef
  14. Parrish EM, Depp CA, Moore RC, Harvey PD, Mikhael T, Holden J, Swendsen J, Granholm E. Emotional determinants of life-space through GPS and ecological momentary assessment in schizophrenia: What gets people out of the house?. Schizophrenia Research 2020;224:67
    CrossRef
  15. Ueafuea K, Boonnag C, Sudhawiyangkul T, Leelaarporn P, Gulistan A, Chen W, Mukhopadhyay SC, Wilaiprasitporn T, Piyayotai S. Potential Applications of Mobile and Wearable Devices for Psychological Support During the COVID-19 Pandemic: A Review. IEEE Sensors Journal 2021;21(6):7162
    CrossRef
  16. Mansoor H, Gerych W, Alajaji A, Buquicchio L, Chandrasekaran K, Agu E, Rundensteiner E. ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. Visual Informatics 2021;5(3):39
    CrossRef
  17. Alessandrini M, Biagetti G, Crippa P, Falaschetti L, Turchetti C. Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data. Electronics 2021;10(14):1715
    CrossRef
  18. Di Matteo D, Fotinos K, Lokuge S, Mason G, Sternat T, Katzman MA, 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
    CrossRef
  19. Mansoor H, Gerych W, Alajaji A, Buquicchio L, Chandrasekaran K, Agu E, Rundensteiner E, Rodriguez AI. INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. Visual Informatics 2023;7(2):13
    CrossRef
  20. Hnoohom N, Mekruksavanich S, Jitpattanakul A. Physical Activity Recognition Based on Deep Learning Using Photoplethysmography and Wearable Inertial Sensors. Electronics 2023;12(3):693
    CrossRef
  21. 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
    CrossRef
  22. Nowrouzi-Kia B, Stier J, Ayyoub L, Hutchinson L, Laframboise J, Mihailidis A. The Characteristics of Canadian University Students’ Mental Health, Engagement in Activities and Use of Smartphones: A descriptive pilot study. Health Psychology Open 2021;8(2):205510292110620
    CrossRef
  23. Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson NC. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1)
    CrossRef
  24. Chen C, Lou S, Kaewkitipong L. Online social anxiety and mobile instant messaging adoption and continuance usage intention: How does it relate to social, technical, and mobility factors?. Cogent Business & Management 2022;9(1)
    CrossRef
  25. Choudhary S, Thomas N, Alshamrani S, Srinivasan G, Ellenberger J, Nawaz U, Cohen R. A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study. JMIR Medical Informatics 2022;10(8):e38943
    CrossRef
  26. Ibrahim A, Zhang H, Clinch S, Harper S. From GPS to semantic data: how and why—a framework for enriching smartphone trajectories. Computing 2021;103(12):2763
    CrossRef
  27. Jacobson NC, Bhattacharya S. Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. Behaviour Research and Therapy 2022;149:104013
    CrossRef
  28. Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes LE, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413
    CrossRef
  29. Jiang J, Meng Q, Ji J. Combining Music and Indoor Spatial Factors Helps to Improve College Students’ Emotion During Communication. Frontiers in Psychology 2021;12
    CrossRef
  30. Dong G, Tang M, Wang Z, Gao J, Guo S, Cai L, Gutierrez R, Campbel B, Barnes LE, Boukhechba M. Graph Neural Networks in IoT: A Survey. ACM Transactions on Sensor Networks 2023;19(2):1
    CrossRef
  31. Lee K, Lee TC, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas MA, Wright AA, Demiris G, Ritchie CS, Pickering CE, Nicholas Dionne-Odom J. Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023;174:105061
    CrossRef
  32. Ramzan M, Hamid M, Alhussan AA, AlEisa HN, Abdallah HA. Accurate Prediction of Anxiety Levels in Asian Countries Using a Fuzzy Expert System. Healthcare 2023;11(11):1594
    CrossRef
  33. Stamatis CA, Liu T, Meyerhoff J, Meng Y, Cho YM, Karr CJ, Curtis BL, Ungar LH, Mohr DC. Specific associations of passively sensed smartphone data with future symptoms of avoidance, fear, and physiological distress in social anxiety. Internet Interventions 2023;34:100683
    CrossRef
  34. Li C, Xu B, Chen Z, Huang X, He J, Xie X. A Stacking Model-Based Classification Algorithm Is Used to Predict Social Phobia. Applied Sciences 2024;14(1):433
    CrossRef
  35. Gopalakrishnan A, Gururajan R, Zhou X, Venkataraman R, Chan KC, Higgins N. A survey of autonomous monitoring systems in mental health. WIREs Data Mining and Knowledge Discovery 2024;
    CrossRef
  36. Fernández-Álvarez J, Colombo D, Gómez Penedo JM, Pierantonelli M, Baños RM, Botella C. Studies of Social Anxiety Using Ambulatory Assessment: Systematic Review. JMIR Mental Health 2024;11:e46593
    CrossRef
  37. Dev AS, Broos HC, Llabre MM, Saab PG, Timpano KR. Risk estimation in relation to anxiety and depression for low probability negative events. Behaviour Research and Therapy 2024;176:104500
    CrossRef
  38. Musella KE, DiFonte MC, Michel R, Stamates A, Flannery-Schroeder E. Emotion regulation as a mediator in the relationship between childhood maltreatment and symptoms of social anxiety among college students. Journal of American College Health 2024;:1
    CrossRef
  39. Najeh H, Lohr C, Leduc B. Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study. Applied Sciences 2024;14(6):2377
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/10101):

  1. Hur J, Stockbridge MD, Fox AS, Shackman AJ. Emotion and Cognition. 2019. :375
    CrossRef
  2. Boukhechba M, Barnes LE. Advances in Usability, User Experience, Wearable and Assistive Technology. 2020. Chapter 67:510
    CrossRef
  3. Psathas AP, Papaleonidas A, Iliadis L. Computational Collective Intelligence. 2020. Chapter 42:543
    CrossRef
  4. Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. 2023. Chapter 23:395
    CrossRef
  5. Mansoor H, Gerych W, Alajaji A, Buquicchio L, Chandrasekaran K, Agu E, Rundensteiner E. Computer Vision, Imaging and Computer Graphics Theory and Applications. 2023. Chapter 10:206
    CrossRef
  6. Mondragón-González SL, Burguière E, N’diaye K. Machine Learning for Brain Disorders. 2023. Chapter 12:355
    CrossRef