Published on in Vol 6, No 3 (2019): March

Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps

Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps

Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps

Journals

  1. Washington P, Park N, Srivastava P, Voss C, Kline A, Varma M, Tariq Q, Kalantarian H, Schwartz J, Patnaik R, Chrisman B, Stockham N, Paskov K, Haber N, Wall D. Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2020;5(8):759 View
  2. Kim B, Lee D, Min A, Paik S, Frey G, Bellini S, Han K, Shih P, Lee S. PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorder. PLOS ONE 2020;15(9):e0237966 View
  3. Pandina G, Ness S, Trudeau J, Stringer S, Knoble N, Lenderking W, Bangerter A. Qualitative evaluation of the Autism Behavior Inventory: use of cognitive interviewing to establish validity of a caregiver report scale for autism spectrum disorder. Health and Quality of Life Outcomes 2021;19(1) View
  4. Rhodus E, Barber J, Abner E, Bardach S, Gibson A, Jicha G. Comparison of behaviors characteristic of autism spectrum disorder behaviors and behavioral and psychiatric symptoms of dementia. Aging & Mental Health 2022;26(3):586 View
  5. Pandina G. The role of digital medicine in autism spectrum disorder. European Neuropsychopharmacology 2021;48:42 View
  6. . Grant Report on mCARE: Mobile-Based Care for Children with Autism Spectrum Disorder (ASD) for Low- and Middle-Income Countries (LMICs). Journal of Psychiatry and Brain Science 2021 View
  7. Siyam N, Abdallah S. A Pilot Study Investigating the Use of Mobile Technology for Coordinating Educational Plans in Inclusive Settings. Journal of Special Education Technology 2022;37(4):455 View
  8. Rabbani M, Haque M, Dipal D, Zarif M, Iqbal A, Schwichtenberg A, Bansal N, Soron T, Ahmed S, Ahamed S. A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs. Smart Health 2022;26:100345 View
  9. Bui T, Pohl M, Rosenfelt C, Ogourtsova T, Yousef M, Whitlock K, Majnemer A, Nicholas D, Demmans Epp C, Zaiane O, Bolduc F. Identifying Potential Gamification Elements for A New Chatbot for Families With Neurodevelopmental Disorders: User-Centered Design Approach. JMIR Human Factors 2022;9(3):e31991 View
  10. Simmons C, Moretti A, Lobo A, Tremoulet P. Direct Support Professionals’ Perspectives on Using Technology to Help Support Adults With Autism Spectrum Disorder: Mixed Methods Study. JMIR Formative Research 2023;7:e40722 View
  11. Liu X, Ji X, Weng X, Zhang Y. Artificial intelligence ecosystem for computational psychiatry: Ideas to practice. World Journal of Meta-Analysis 2023;11(4):79 View
  12. Tobe R, Zhu Y, Gleissl T, Rossomanno S, Veenstra-VanderWeele J, Smith J, Hollander E. Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder. Neuropsychopharmacology 2023;48(8):1201 View
  13. Liu X, Zhao W, Qi Q, Luo X. A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps: Focusing on Usability and Software Design. Sensors 2023;23(14):6260 View
  14. Robeson M, Hayes K, Shekouh K, Ahlich E, Zlomke K. Examining daily impact of mood and quality of social support for caregivers of children on the autism spectrum. Research in Autism Spectrum Disorders 2024;110:102293 View