Personalized Treatment of Mental Health Problems 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.

Course Work

Here are the lists of presentations given in different courses and during my Ph.D.

Introduction to Machine learning

• https://www.uib.no/en/course/INF264

Model Driven Software Engineering

• LaTeXA Decade of Software Design and Modeling
• PDFhttps://skmukhiya.netlify.com/survey-about-mdse.md/

Research Ethics

• LaTeXResearch Ethics in relation to AI-assisted Adaptive Technology
• PDFhttps://skmukhiya.netlify.com/ethical-aspects-of-my-project.md/

Presentations

• PDF: How can we model adaptive Internet Delivered psychological Treatment system, 13^th Jan, 2020. Solstrand Hotel & Bad
• PDF: A GraphQL approach to Healthcare Information Exchange with HL7 FHIR, 5^th November, 2019. INSTITUTE PEDRO NUNES (IPN), R. Pedro Nunes 3030-199 Coimbra, Portugal.
• PDF: Composing HL7 FHIR Resource Server, 24^th June, 2019. At Helse Vest IKT, Ibsensgate 104
• pdf: An architecture design for self-reporting e-health system, 27^th May, 2019. At Montreal, QC, Canada
• keynote: Personalized Treatment of mental Health problems using Voice, 20^th May, 2019. At Gailo, Bergen, Norway
• keynote: Personalized Treatment of mental Health problems using Adaptive Technology, 8^th March, 2019. 148 Townsend Street, San Francisco

Papers

• [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

Posters

• Best poster award, 2019 An architecture for creating self-reporting ehealth systems

Tutorials

• Getting Started With Python
• How does GraphQL work?
• How does GraphQL GraphQL does query parsing and validation?

Blogs and News

• Difference between software architecture and software design
• What is information architecture
• What mental health issues INTROMAT is dealing with?
• Facts about Depression
• Correlation between Sleep and mental health problems
• Adaptive Technology in Mental Health issues