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Published on 15.07.15 in Vol 17, No 7 (2015): July

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

Works citing "Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4273):

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

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  7. Sabharwal A, Veeraraghavan A. Bio-Behavioral Sensing. GetMobile: Mobile Computing and Communications 2017;21(3):11
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  12. Ram N, Brinberg M, Pincus AL, Conroy DE. The Questionable Ecological Validity of Ecological Momentary Assessment: Considerations for Design and Analysis. Research in Human Development 2017;14(3):253
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  13. Turvey C, Fortney J. The Use of Telemedicine and Mobile Technology to Promote Population Health and Population Management for Psychiatric Disorders. Current Psychiatry Reports 2017;19(11)
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  14. Balicer RD, Luengo-Oroz M, Cohen-Stavi C, Loyola E, Mantingh F, Romanoff L, Galea G. Using big data for non-communicable disease surveillance. The Lancet Diabetes & Endocrinology 2017;
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  15. Sarikaya R. The Technology Behind Personal Digital Assistants: An overview of the system architecture and key components. IEEE Signal Processing Magazine 2017;34(1):67
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  16. Saeb S, Cybulski TR, Kording KP, Mohr DC. Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles. Journal of Medical Internet Research 2017;19(4):e118
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  17. Cuttone A, Bækgaard P, Sekara V, Jonsson H, Larsen JE, Lehmann S, Zhou W. SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events. PLOS ONE 2017;12(1):e0169901
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  18. Harari GM, Müller SR, Mishra V, Wang R, Campbell AT, Rentfrow PJ, Gosling SD. An Evaluation of Students’ Interest in and Compliance With Self-Tracking Methods. Social Psychological and Personality Science 2017;8(5):479
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  19. Bourla A, Ferreri F, Ogorzelec L, Guinchard C, Mouchabac S. Évaluation des troubles thymiques par l’étude des données passives : le concept de phénotype digital à l’épreuve de la culture de métier de psychiatre. L'Encéphale 2017;
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  20. Bidargaddi N, Musiat P, Makinen V, Ermes M, Schrader G, Licinio J. Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry 2017;22(2):164
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  21. Bruehlman-Senecal E, Aguilera A, Schueller SM. Mobile Phone–Based Mood Ratings Prospectively Predict Psychotherapy Attendance. Behavior Therapy 2017;48(5):614
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  22. Fairburn CG, Patel V. The impact of digital technology on psychological treatments and their dissemination. Behaviour Research and Therapy 2017;88:19
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  23. Torous J, Levin ME, Ahern DK, Oser ML. Cognitive Behavioral Mobile Applications: Clinical Studies, Marketplace Overview, and Research Agenda. Cognitive and Behavioral Practice 2017;24(2):215
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  24. Chow PI, Fua K, Huang Y, Bonelli W, Xiong H, Barnes LE, Teachman BA. Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students. Journal of Medical Internet Research 2017;19(3):e62
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  25. Palmius N, Tsanas A, Saunders KEA, Bilderbeck AC, Geddes JR, Goodwin GM, De Vos M. Detecting Bipolar Depression From Geographic Location Data. IEEE Transactions on Biomedical Engineering 2017;64(8):1761
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  26. Place S, Blanch-Hartigan D, Rubin C, Gorrostieta C, Mead C, Kane J, Marx BP, Feast J, Deckersbach T, Pentland A, Nierenberg A, Azarbayejani A. Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders. Journal of Medical Internet Research 2017;19(3):e75
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  27. Saeb S, Lattie EG, Kording KP, Mohr DC. Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety. JMIR mHealth and uHealth 2017;5(8):e112
    CrossRef
  28. Wang W. Smartphones as Social Actors? Social dispositional factors in assessing anthropomorphism. Computers in Human Behavior 2017;68:334
    CrossRef
  29. Mohr DC, Zhang M, Schueller SM. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology 2017;13(1):23
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  30. DeMasi O, Feygin S, Dembo A, Aguilera A, Recht B. Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study. JMIR mHealth and uHealth 2017;5(10):e137
    CrossRef
  31. Mandryk RL, Birk MV. Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences. Journal of Medical Internet Research 2017;19(4):e128
    CrossRef
  32. Leonard NR, Silverman M, Sherpa DP, Naegle MA, Kim H, Coffman DL, Ferdschneider M. Mobile Health Technology Using a Wearable Sensorband for Female College Students With Problem Drinking: An Acceptability and Feasibility Study. JMIR mHealth and uHealth 2017;5(7):e90
    CrossRef
  33. Craske MG. Honoring the Past, Envisioning the Future: ABCT’s 50th Anniversary Presidential Address. Behavior Therapy 2017;
    CrossRef
  34. Aledavood T, Triana Hoyos AM, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst RK. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110
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  35. Stachl C, Hilbert S, Au J, Buschek D, De Luca A, Bischl B, Hussmann H, Bühner M, Wrzus C. Personality Traits Predict Smartphone Usage. European Journal of Personality 2017;
    CrossRef
  36. Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. Journal of the American Medical Informatics Association 2017;24(4):746
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  37. Tuarob S, Tucker CS, Kumara S, Giles CL, Pincus AL, Conroy DE, Ram N. How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. Journal of Biomedical Informatics 2017;68:1
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  38. Webb CA, Rosso IM, Rauch SL. Internet-Based Cognitive-Behavioral Therapy for Depression. Harvard Review of Psychiatry 2017;25(3):114
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  39. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;
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  40. Arean PA, Hallgren KA, Jordan JT, Gazzaley A, Atkins DC, Heagerty PJ, Anguera JA. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research 2016;18(12):e330
    CrossRef
  41. Armontrout J, Torous J, Fisher M, Drogin E, Gutheil T. Mobile Mental Health: Navigating New Rules and Regulations for Digital Tools. Current Psychiatry Reports 2016;18(10)
    CrossRef
  42. Hung GC, Yang P, Chang C, Chiang J, Chen Y. Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study. JMIR Research Protocols 2016;5(3):e160
    CrossRef
  43. Kang Y. Ontology Components for the Depression Management based on Context. Journal of the Korea Institute of Information and Communication Engineering 2016;20(9):1785
    CrossRef
  44. Suffoletto B, Aguilera A. Expanding Adolescent Depression Prevention Through Simple Communication Technologies. Journal of Adolescent Health 2016;59(4):373
    CrossRef
  45. Kirchner TR, Shiffman S. Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA). Social Psychiatry and Psychiatric Epidemiology 2016;51(9):1211
    CrossRef
  46. Asselbergs J, Ruwaard J, Ejdys M, Schrader N, Sijbrandij M, Riper H. Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study. Journal of Medical Internet Research 2016;18(3):e72
    CrossRef
  47. Kamilaris A, Pitsillides A. Mobile Phone Computing and the Internet of Things: A Survey. IEEE Internet of Things Journal 2016;3(6):885
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  48. Huguet A, Rao S, McGrath PJ, Wozney L, Wheaton M, Conrod J, Rozario S, Choo KR. A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression. PLOS ONE 2016;11(5):e0154248
    CrossRef
  49. Saeb S, Lattie EG, Schueller SM, Kording KP, Mohr DC. The relationship between mobile phone location sensor data and depressive symptom severity. PeerJ 2016;4:e2537
    CrossRef
  50. Wicks P, Hotopf M, Narayan VA, Basch E, Weatherall J, Gray M. It’s a long shot, but it just might work! Perspectives on the future of medicine. BMC Medicine 2016;14(1)
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  51. Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, Mohr DC, Schatzberg AF. Major depressive disorder. Nature Reviews Disease Primers 2016;2:16065
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  52. Harari GM, Lane ND, Wang R, Crosier BS, Campbell AT, Gosling SD. Using Smartphones to Collect Behavioral Data in Psychological Science. Perspectives on Psychological Science 2016;11(6):838
    CrossRef
  53. Christensen MA, Bettencourt L, Kaye L, Moturu ST, Nguyen KT, Olgin JE, Pletcher MJ, Marcus GM, Romigi A. Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep. PLOS ONE 2016;11(11):e0165331
    CrossRef
  54. Hird N, Ghosh S, Kitano H. Digital health revolution: perfect storm or perfect opportunity for pharmaceutical R&D?. Drug Discovery Today 2016;21(6):900
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  55. Torous J, Kiang MV, Lorme J, Onnela J. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Mental Health 2016;3(2):e16
    CrossRef
  56. Wahle F, Kowatsch T, Fleisch E, Rufer M, Weidt S. Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild. JMIR mHealth and uHealth 2016;4(3):e111
    CrossRef
  57. Aung MSH, Alquaddoomi F, Hsieh C, Rabbi M, Yang L, Pollak JP, Estrin D, Choudhury T. Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE Journal of Selected Topics in Signal Processing 2016;10(5):962
    CrossRef
  58. Aledavood T, Lehmann S, Saramäki J. Digital daily cycles of individuals. Frontiers in Physics 2015;3
    CrossRef
  59. Miloff A, Marklund A, Carlbring P. The challenger app for social anxiety disorder: New advances in mobile psychological treatment. Internet Interventions 2015;2(4):382
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4273)

:
  1. Wolfer J. Online Engineering & Internet of Things. 2018. Chapter 63:672
    CrossRef
  2. Duke , Montag C. Internet Addiction. 2017. Chapter 21:359
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  3. Rabbi M, Hane Aung M, Choudhury T. Mobile Health. 2017. Chapter 26:519
    CrossRef
  4. Klaas VC, Calatroni A, Hardegger M, Guckenberger M, Theile G, Tröster G. Wireless Mobile Communication and Healthcare. 2017. Chapter 28:207
    CrossRef
  5. Losada DE, Crestani F. Experimental IR Meets Multilinguality, Multimodality, and Interaction. 2016. Chapter 3:28
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  6. Vayena E, Gasser U. The Ethics of Biomedical Big Data. 2016. Chapter 2:17
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