Published on 04.07.18 in Vol 5, No 3 (2018): Jul-Sept
Works citing "Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/10101):
(note that this is only a small subset of citations)
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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
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. 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Hnoohom N, Mekruksavanich S, Jitpattanakul A. Physical Activity Recognition Based on Deep Learning Using Photoplethysmography and Wearable Inertial Sensors. Electronics 2023;12(3):693
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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
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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
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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)
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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;
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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
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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
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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
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Najeh H, Lohr C, Leduc B. Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study. Applied Sciences 2024;14(6):2377
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Beames J, Han J, Shvetcov A, Zheng W, Slade A, Ibrahim O, Rosenberg J, O’Dea B, Kasturi S, Hoon L, Whitton A, Christensen H, Newby JM. Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review. SSRN Electronic Journal 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/10101):
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Hur J, Stockbridge MD, Fox AS, Shackman AJ. Emotion and Cognition. 2019. :375
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Boukhechba M, Barnes LE. Advances in Usability, User Experience, Wearable and Assistive Technology. 2020. Chapter 67:510
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Psathas AP, Papaleonidas A, Iliadis L. Computational Collective Intelligence. 2020. Chapter 42:543
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Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. 2023. Chapter 23:395
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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
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Mondragón-González SL, Burguière E, N’diaye K. Machine Learning for Brain Disorders. 2023. Chapter 12:355
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