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Published on 17.08.15 in Vol 17, No 8 (2015): August

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

Works citing "Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4581):

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

  1. 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
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  4. Hajesmaeel Gohari S, Bahaadinbeigy K, Tajoddini S, R Niakan Kalhori S. Drug poisoning management using smartphones: an apps review study based on use case classification model. BMJ Innovations 2020;:bmjinnov-2020-000447
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  5. Lecomte T, Potvin S, Corbière M, Guay S, Samson C, Cloutier B, Francoeur A, Pennou A, Khazaal Y. Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses. JMIR mHealth and uHealth 2020;8(5):e17458
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  6. Muroff J, Robinson W. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice. Cognitive and Behavioral Practice 2020;
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  15. Torous J, Brady R. Advancing care for bipolar disorder today and breakthroughs in access and treatments tomorrow with mobile health and smartphone apps. Bipolar Disorders 2020;22(3):211
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  19. Thakur D, Biswas S. Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey. Journal of Ambient Intelligence and Humanized Computing 2020;
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  36. Hendrikoff L, Kambeitz-Ilankovic L, Pryss R, Senner F, Falkai P, Pogarell O, Hasan A, Peters H. Prospective acceptance of distinct mobile mental health features in psychiatric patients and mental health professionals. Journal of Psychiatric Research 2019;109:126
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  45. Barnett S, Huckvale K, Christensen H, Venkatesh S, Mouzakis K, Vasa R. Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications. Journal of Medical Internet Research 2019;21(11):e16399
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