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

Design and Formative Evaluation of Mobile Apps (694) Tutorial (64) Mobile Health (mhealth) (2939) Mobile Health in Psychiatry (426)

Published on in Vol 2, No 4 (2014): Oct-Dec

Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies

Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies

Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies

Authors of this article:

Melvyn WB Zhang1 Author Orcid Image ;   Tammy Tsang1 Author Orcid Image ;   Enquan Cheow2 Author Orcid Image ;   Cyrus SH Ho3 Author Orcid Image ;   Ng Beng Yeong4 Author Orcid Image ;   Roger CM Ho3 Author Orcid Image
Article Authors Cited by (40) Tweetations (9) Metrics

Journals

  1. Choo C, Burton A. Smartphone Apps for Mindfulness Interventions for Suicidality in Asian Youths: Literature Review. JMIR mHealth and uHealth 2018;6(6):e139 View
  2. Zhang M, Ho C, Cheok C, Ho R. Bringing smartphone technology into undergraduate and postgraduate psychiatry. BJPsych Advances 2015;21(4):222 View
  3. Subhi Y, Bube S, Rolskov Bojsen S, Skou Thomsen A, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79 View
  4. Ma X, Luo Y, Zhang L, Wang J, Liang Y, Yu H, Wu Y, Tan J, Cao M. A Trial and Perceptions Assessment of APP-Based Flipped Classroom Teaching Model for Medical Students in Learning Immunology in China. Education Sciences 2018;8(2):45 View
  5. Lim G, Tam W, Lu Y, Ho C, Zhang M, Ho R. Prevalence of Depression in the Community from 30 Countries between 1994 and 2014. Scientific Reports 2018;8(1) View
  6. Kato-Lin Y, Abhishek V, Downs J, Padman R. Food for Thought: The Impact of m-Health Enabled Interventions on Eating Behavior. SSRN Electronic Journal 2016 View
  7. Radovic A, Vona P, Santostefano A, Ciaravino S, Miller E, Stein B. Smartphone Applications for Mental Health. Cyberpsychology, Behavior, and Social Networking 2016;19(7):465 View
  8. Arulanthu P, Perumal E. An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction. International Journal of Imaging Systems and Technology 2020;30(3):815 View
  9. Wasil A, Gillespie S, Shingleton R, Wilks C, Weisz J. Examining the Reach of Smartphone Apps for Depression and Anxiety. American Journal of Psychiatry 2020;177(5):464 View
  10. Schobel J, Pryss R, Probst T, Schlee W, Schickler M, Reichert M. Learnability of a Configurator Empowering End Users to Create Mobile Data Collection Instruments: Usability Study. JMIR mHealth and uHealth 2018;6(6):e148 View
  11. S.K. L, Mohanty S, S. S, Krishnamoorthy S, J. U, Shankar K. Online clinical decision support system using optimal deep neural networks. Applied Soft Computing 2019;81:105487 View
  12. Musyimi C, Mutiso V, Haji Z, Nandoya E, Ndetei D. Mobile Based mhGAP-IG Depression Screening in Kenya. Community Mental Health Journal 2018;54(1):84 View
  13. Liang D, Han H, Du J, Zhao M, Hser Y. A pilot study of a smartphone application supporting recovery from drug addiction. Journal of Substance Abuse Treatment 2018;88:51 View
  14. Zhang M, Cheow E, Ho C, Ng B, Ho R, Cheok C. Application of Low-Cost Methodologies for Mobile Phone App Development. JMIR mHealth and uHealth 2014;2(4):e55 View
  15. Drissi N, Ouhbi S, Janati Idrissi M, Ghogho M. An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps. International Journal of Medical Informatics 2020;141:104243 View
  16. Kumar P, Lokesh S, Varatharajan R, Chandra Babu G, Parthasarathy P. Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier. Future Generation Computer Systems 2018;86:527 View
  17. Schobel J, Probst T, Reichert M, Schickler M, Pryss R. Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications. IEEE Access 2019;7:61204 View
  18. Choo C, Kuek J, Burton A. Smartphone Applications for Mindfulness Interventions with Suicidality in Asian Older Adults: A Literature Review. International Journal of Environmental Research and Public Health 2018;15(12):2810 View
  19. Flynn E, Chung E, Ozer E, Fernald L. Maternal Depressive Symptoms and Child Behavior among Mexican Women and Their Children. International Journal of Environmental Research and Public Health 2017;14(12):1566 View
  20. Iyengar M, Chang O, Florez-Arango J, Taria M, Patel V. Development and usability of a mobile tool for identification of depression and suicide risk in Fiji. Technology and Health Care 2021;29(1):143 View
  21. Tran B, McIntyre R, Latkin C, Phan H, Vu G, Nguyen H, Gwee K, Ho C, Ho R. The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis. International Journal of Environmental Research and Public Health 2019;16(12):2150 View
  22. Verma P, Sood S. Cloud-centric IoT based disease diagnosis healthcare framework. Journal of Parallel and Distributed Computing 2018;116:27 View
  23. Gray K, Sockolow P. Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development. JMIR Medical Informatics 2016;4(1):e7 View
  24. Zhang M, Ho R. Enabling Psychiatrists to Explore the Full Potential of E-Health. Frontiers in Psychiatry 2015;6 View
  25. Zhang M, Ho R. Tapping onto the Potential of Smartphone Applications for Psycho-Education and Early Intervention in Addictions. Frontiers in Psychiatry 2016;7 View
  26. Yin H, Wardenaar K, Xu G, Tian H, Schoevers R. Mental health stigma and mental health knowledge in Chinese population: a cross-sectional study. BMC Psychiatry 2020;20(1) View
  27. Hueso M, de Haro L, Calabia J, Dal-Ré R, Tebé C, Gibert K, Cruzado J, Vellido A. Leveraging Data Science for a Personalized Haemodialysis. Kidney Diseases 2020;6(6):385 View
  28. Liu Z, Lo R, Cheng J, Wan P, Tan K. Use of no-code platforms in the development of clinician-designed mobile apps to support clinical work in the emergency department. BMJ Innovations 2022;8(4):329 View
  29. Rajinikanth C, Selvaraj P, Yacin Sikkandar M, Jayasankar T, Kadry S, Nam Y. Energy Efficient Cluster Based Clinical Decision Support System in IoT Environment. Computers, Materials & Continua 2021;69(2):2013 View
  30. Elbilgahy A, Sweelam R, Eltaib F, Bayomy H, Elwasefy S. Effects of Electronic Devices and Internet Addiction on Sleep and Academic Performance Among Female Egyptian and Saudi Nursing Students: A Comparative Study. SAGE Open Nursing 2021;7 View
  31. Zhang M, Ho R. Mental health wellness application: a new toolkit for psychological wellness. BMJ Innovations 2015;1(4):204 View
  32. Zhang M, Yeo L, Ho R. Harnessing smartphone technologies for stroke care, rehabilitation and beyond. BMJ Innovations 2015;1(4):145 View
  33. L Echeverry A, Lopez Flórez S, Guapacha J, Gutiérrez J, de la Prieta F. ElectrApp: Deep learning framework to enhance cardiac arrhythmia detection. Logic Journal of the IGPL 2024 View

Books/Policy Documents

  1. Zhang M, Ho R. The Digitization of Healthcare. View
  2. Rajagopalan A, Ho R. Major Depressive Disorder. View