Internet Delivered Treatment using Adaptive Technology
List of PhD resources I want to share with the research community. I was associated with INTROMAT project, which holds a vision of improving public mental health with innovative technologies and psychological treatments. I was a PhD candidate hired by the INTROMAT team to research the use of adaptive technology for the personalized treatment of mental health issues including Depression, ADHD, Bipolar Disorder and Social Anxiety Disorder.
Here are the lists of presentations given in different courses and during my Ph.D.
LaTeXResearch Ethics in relation to AI-assisted Adaptive Technology
PDFhttps://skmukhiya.netlify.com/ethical-aspects-of-my-project.md/PDF: How can we model adaptive Internet Delivered psychological Treatment system, 13th Jan, 2020. Solstrand Hotel & BadPDF: A GraphQL approach to Healthcare Information Exchange with HL7 FHIR, 5th November, 2019. INSTITUTE PEDRO NUNES (IPN), R. Pedro Nunes 3030-199 Coimbra, Portugal.PDF: Composing HL7 FHIR Resource Server, 24th June, 2019. At Helse Vest IKT, Ibsensgate 104pdf: An architecture design for self-reporting e-health system, 27th May, 2019. At Montreal, QC, Canadakeynote: Personalized Treatment of mental Health problems using Voice, 20th May, 2019. At Gailo, Bergen, Norwaykeynote: Personalized Treatment of mental Health problems using Adaptive Technology, 8th March, 2019. 148 Townsend Street, San Francisco[Journal] Lamo Y, Mukhiya SK, Rabbi F, et al. “Towards adaptive technology in routine mental health care.” DIGITAL HEALTH. 2022;8., 10.1177/2055207622112867.
[Journal] Mukhiya S, Lamo Y, Rabbi F. “A Reference Architecture for Data-Driven and Adaptive Internet-Delivered Psychological Treatment Systems: Software Architecture Development and Validation Study” JMIR Hum Factors 2022;9(2):e31029, 10.2196/31029.
[Journal] Nordby, Emilie S., Astri J. Lundervold, Robin MF Kenter, Frode Guribye, Suresh K. Mukhiya, and Tine Nordgreen. “The effect of SMS reminders on adherence in a self-guided Internet-delivered intervention for adults with ADHD.” Frontiers in Digital Health: 67, https://doi.org/10.3389/fdgth.2022.821031.
[Journal] Nordgreen, Tine, et al. “Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health.” Journal of Enabling Technologies (2021).
[Journal] Mukhiya SK, Lamo Y. An HL7 FHIR and GraphQL approach for interoperability between heterogeneous Electronic Health Record systems. Health Informatics Journal. July 2021. doi:10.1177/14604582211043920
[Journal] Ahmed, U., Kumar Mukhiya, S., Lin, J. C.-W., Srivastava, G., & Lamo, Y. (2021). Attention-based Deep Entropy Active Learning using Lexical Algorithm for Mental Health Treatment. Frontiers in Psychology, 12, 471. https://doi.org/10.3389/FPSYG.2021.642347.
[Book chapter] S. Mukhiya, A. Aminifar, F. Rabbi, V. Pun, and Y. Lamo. Artificial Intelligence in Mental Health. Bentham Science Publishers LTD., pages 13–34, 2021.
[Journal] Mukhiya SK, Wake JD, Inal Y, Pun KI, Lamo Yngve, Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review, JMIR, doi: https://doi.org/10.2196/21066.
[Conference] Ahmed U., Lin J.CW., Wu J.MT., Djenouri Y., Srivastava G., Mukhiya S.K. (2020) Efficient Mining of Pareto-Front High Expected Utility Patterns. In: Fujita H., Fournier-Viger P., Ali M., Sasaki J. (eds) Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. IEA/AIE 2020. Lecture Notes in Computer Science, vol 12144. Springer, Cham. https://doi.org/10.1007/978-3-030-55789-8_74
[Conference] Suresh Kumar Mukhiya, Usman Ahmed, Fazle Rabbi, Ka I Pun, & Yngve Lamo. Adaptation of IDPT System Based on Patient-Authored Text Data Using NLP.
[Journal] S. K. Mukhiya, J. D. Wake, Y. Inal and Y. Lamo, “Adaptive Systems for Internet-Delivered Psychological Treatments,” in IEEE Access, doi: 10.1109/ACCESS.2020.3002793.
[Conference] Usman Ahmed, Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, and Suresh Kumar Mukhiya, Mining of the Non-dominated High Expected Utility Patterns from Uncertain Databases, 2020, Accepted in IEA/AIE 2020
[Book Chapter] Nordberg O.E. et al. (2020) Designing Chatbots for Guiding Online Peer Support Conversations for Adults with ADHD. In: Følstad A. et al. (eds) Chatbot Research and Design. CONVERSATIONS 2019. Lecture Notes in Computer Science, vol 11970. Springer, Cham
[Conference] Oda E. Nordberg, Suresh Kumar Mukhiya, Frode Guribye, Eivind Flobak, Robin Kenter, Daniel A. Jensen, Astri Lundervold, Tine Nordgreen . The design of a chatbot for guiding peer support chats between adults with ADHD , May 14, 2019 (https://www.norsrii.no/)
[Conference] Suresh Kumar Mukhiya, Fazle Rabbi, Violet Ka I Pun, Adrian Rutle, Yngve Lamo, A GraphQL approach to Healthcare Information Exchange with HL7 FHIR, Procedia Computer Science, Volume 160, 2019, Pages 338-345, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2019.11.082. (http://www.sciencedirect.com/science/article/pii/S187705091931782X)
[Workshop] Suresh Kumar Mukhiya, Fazle Rabbi, Ka I Pun, and Yngve Lamo. 2019. An architectural design for self-reporting e-health systems. In Proceedings of the 1st International Workshop on Software Engineering for Healthcare (SEH ’19). IEEE Press, 1–8. DOI: https://doi.org/10.1109/SEH.2019.00008
[Journal Paper] Mukhiya, Suresh Kumar, & Hoang Hung, K. (2018). An Architectural Style for Single Page Scalable Modern Web Application, 5(4), 6–13, International Journal of Recent Research Aspects ISSN: 2349-7688, Vol. 5
Best poster award, 2019 An architecture for creating self-reporting ehealth systems