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Citing this Article

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Published on 06.01.16 in Vol 3, No 1 (2016): Jan-Mar

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

Works citing "Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mental.4560):

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

  1. Meyer TD, Crist N, La Rosa N, Ye B, Soares JC, Bauer IE. Are existing self-ratings of acute manic symptoms in adults reliable and valid?-A systematic review. Bipolar Disorders 2020;
    CrossRef
  2. . Digital Sensory Phenotyping for Psychiatric Disorders. Journal of Psychiatry and Brain Science 2020;
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  3. Antosik-Wójcińska AZ, Dominiak M, Chojnacka M, Kaczmarek-Majer K, Opara KR, Radziszewska W, Olwert A, Święcicki . Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling. International Journal of Medical Informatics 2020;138:104131
    CrossRef
  4. Haines-Delmont A, Chahal G, Bruen AJ, Wall A, Khan CT, Sadashiv R, Fearnley D. Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study. JMIR mHealth and uHealth 2020;8(6):e15901
    CrossRef
  5. Marshall JM, Dunstan DA, Bartik W. Clinical or gimmickal: The use and effectiveness of mobile mental health apps for treating anxiety and depression. Australian & New Zealand Journal of Psychiatry 2020;54(1):20
    CrossRef
  6. Moura I, Teles A, Silva F, Viana D, Coutinho L, Barros F, Endler M. Mental health ubiquitous monitoring supported by social situation awareness: A systematic review. Journal of Biomedical Informatics 2020;107:103454
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  7. Owen JE, Jaworski BK, Kuhn E, Hoffman JE, Schievelbein L, Chang A, Ramsey K, Rosen C. Development of a mobile app for family members of Veterans with PTSD: identifying needs and modifiable factors associated with burden, depression, and anxiety. Journal of Family Studies 2020;26(2):286
    CrossRef
  8. Jacobson NC, Chung YJ. Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones. Sensors 2020;20(12):3572
    CrossRef
  9. Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941
    CrossRef
  10. Gillett G, Saunders KEA. Remote Monitoring for Understanding Mechanisms and Prediction in Psychiatry. Current Behavioral Neuroscience Reports 2019;6(2):51
    CrossRef
  11. 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
  12. Jungmann SM, Klan T, Kuhn S, Jungmann F. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users. JMIR Formative Research 2019;3(4):e13863
    CrossRef
  13. Faurholt-Jepsen M, Busk J, Þórarinsdóttir H, Frost M, Bardram JE, Vinberg M, Kessing LV. Objective smartphone data as a potential diagnostic marker of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2019;53(2):119
    CrossRef
  14. Majumder S, Deen MJ. Smartphone Sensors for Health Monitoring and Diagnosis. Sensors 2019;19(9):2164
    CrossRef
  15. Fraccaro P, Beukenhorst A, Sperrin M, Harper S, Palmier-Claus J, Lewis S, Van der Veer SN, Peek N. Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review. Journal of the American Medical Informatics Association 2019;26(11):1412
    CrossRef
  16. Pennou A, Lecomte T, Potvin S, Khazaal Y. Mobile Intervention for Individuals With Psychosis, Dual Disorders, and Their Common Comorbidities: A Literature Review. Frontiers in Psychiatry 2019;10
    CrossRef
  17. Goodday SM, Cipriani A. Challenges in identifying behavioural markers of bipolar disorder through objective smartphone data. Australian & New Zealand Journal of Psychiatry 2019;53(2):168
    CrossRef
  18. Faurholt-Jepsen M, Geddes JR, Goodwin GM, Bauer M, Duffy A, Vedel Kessing L, Saunders K. Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)—recommendations. Translational Psychiatry 2019;9(1)
    CrossRef
  19. 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
  20. 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 2018;44(2):168
    CrossRef
  21. Quiroz JC, Geangu E, Yong MH. Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study. JMIR Mental Health 2018;5(3):e10153
    CrossRef
  22. Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in people with mental health conditions: a systematic review. HRB Open Research 2018;1:5
    CrossRef
  23. Song K, Lee S, Yoon W, Kim C, Joo Y, Lee J, Chon M. Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder. Journal of Korean Neuropsychiatric Association 2018;57(3):244
    CrossRef
  24. Faurholt-Jepsen M, Bauer M, Kessing LV. Smartphone-based objective monitoring in bipolar disorder: status and considerations. International Journal of Bipolar Disorders 2018;6(1)
    CrossRef
  25. Mühlbauer E, Bauer M, Ebner-Priemer U, Ritter P, Hill H, Beier F, Kleindienst N, Severus E. Effectiveness of smartphone-based ambulatory assessment (SBAA-BD) including a predicting system for upcoming episodes in the long-term treatment of patients with bipolar disorders: study protocol for a randomized controlled single-blind trial. BMC Psychiatry 2018;18(1)
    CrossRef
  26. Knight A, Bidargaddi N. Commonly available activity tracker apps and wearables as a mental health outcome indicator: A prospective observational cohort study among young adults with psychological distress. Journal of Affective Disorders 2018;236:31
    CrossRef
  27. Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in patients with mental health conditions: a systematic review. HRB Open Research 2018;1:5
    CrossRef
  28. Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
    CrossRef
  29. Parker GB, Tavella G. Design limitations to bipolar II treatment efficacy studies: A challenge and a revisionist strategy. Journal of Affective Disorders 2018;229:334
    CrossRef
  30. Reinertsen E, Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01
    CrossRef
  31. Bauer AM, Iles-Shih M, Ghomi RH, Rue T, Grover T, Kincler N, Miller M, Katon WJ. Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study. General Hospital Psychiatry 2018;51:22
    CrossRef
  32. Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
    CrossRef
  33. Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in people with mental health conditions: a systematic review. HRB Open Research 2018;1:5
    CrossRef
  34. Wang E, Zhou L, Chen SK, Hill K, Parmanto B. An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2018;5(2):e14
    CrossRef
  35. Park DY, Goering EM, Head KJ, Bartlett Ellis RJ. Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model. JMIR Formative Research 2017;1(1):e5
    CrossRef
  36. Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526
    CrossRef
  37. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;
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  38. 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
    CrossRef
  39. Meekan MG, Duarte CM, Fernández-Gracia J, Thums M, Sequeira AM, Harcourt R, Eguíluz VM. The Ecology of Human Mobility. Trends in Ecology & Evolution 2017;32(3):198
    CrossRef
  40. Dogan E, Sander C, Wagner X, Hegerl U, Kohls E. Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review. Journal of Medical Internet Research 2017;19(7):e262
    CrossRef
  41. Saunders K, Bilderbeck A, Panchal P, Atkinson L, Geddes J, Goodwin G. Experiences of Remote Mood and Activity Monitoring in Bipolar Disorder: A Qualitative Study. European Psychiatry 2017;41(1):115
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  42. Rajagopalan A, Shah P, Zhang M, Ho R. Digital Platforms in the Assessment and Monitoring of Patients with Bipolar Disorder. Brain Sciences 2017;7(12):150
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  43. Coelho YL, Bastos-Filho TF. A Bipolar Disorder Monitoring System Based on Wearable Device and Smartphone. IFAC-PapersOnLine 2016;49(30):216
    CrossRef
  44. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mental.4560)

:
  1. Rajagopalan A, Ho RCM. Major Depressive Disorder. 2020. :147
    CrossRef
  2. Senders JT, Maher N, Hulsbergen AFC, Lamba N, Bredenoord AL, Broekman MLD. Ethics of Innovation in Neurosurgery. 2019. Chapter 14:129
    CrossRef
  3. Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. 2019. Chapter 4:47
    CrossRef