MYALO: A System for Recognizing, Diagnosing, and Advising on Three Main Mental Illnesses

Abstract

The burgeoning global prevalence of mental health disorders has ignited a critical need for innovative approaches to diagnosis and treatment. This research paper explores the challenges confronted by the Sri Lankan community in identifying and delivering effective care for mental disorders: Schizophrenia, Social anxiety, and Acrophobia, focusing on the imperative development of a tailored expert system. "Mental health" encompasses the intricate interplay of psychological, emotional, and social well-being, significantly influencing an individual's thoughts, emotions, and behaviors. Despite this awareness, Sri Lanka grapples with impediments hindering the accurate recognition and provision of adequate support for these conditions. This study sheds light on the conspicuous escalation of the chosen mental illnesses within Sri Lanka, emphasizing the urgency for contextually relevant interventions. While existing expert systems offer promise, a conspicuous void exists concerning the development of an advanced system targeting schizophrenia, acrophobia, and social anxiety, which prominently impact Sri Lanka's populace. This void calls for the creation of an adept expert system adept at diagnosing and evaluating the severity of these mental health disorders, and subsequently guiding individuals towards tailored treatment avenues. This research envisions an expert system that amalgamates state-of-the-art technologies, including machine learning, with culturally sensitive diagnostic paradigms. By harnessing sophisticated algorithms, this system seeks to achieve precise diagnostic accuracy and nuanced severity assessment. Moreover, the system's integration of socio-cultural dimensions is poised to enhance its applicability within Sri Lanka's unique societal context. In sum, this paper underscores the pressing need for a bespoke expert system tailored to address schizophrenia, acrophobia, and social anxiety within Sri Lanka. The proposed system stands to revolutionize mental health diagnosis and assessment, effectively bridging gaps in care and ushering in a novel era of personalized treatment. This study serves as a pivotal stride towards fortifying mental health care in Sri Lanka, advocating for a more inclusive and proficient approach to mental health disorders.

Country : Sri Lanka

1 Mayadunne J.N.A2 Withana W.D.T.S.J3 K.D.M.I. Jayathilake4 P.G.T. Dilmith5 Uthpala Samarakoon6 Samanthi Siriwardana

  1. Undergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  2. Undergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  3. Undergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  4. Undergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  5. Undergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  6. Lecturer, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 445-452

doi.org/10.47001/IRJIET/2023.710059

References

  1. K. E. L. M. &. C.-K. D. Anderson, "Exploring mental health professionals' perspectives on using mobile technologies for mental health care," JMIR Mental Health, 2020.
  2. D. Jayasuriya, " Mental health in Sri Lanka: Where is it heading?," International Journal of Mental Health Systems,, vol. 4(1), p. 22, 2010.
  3. F. A. J. R. S. K. J. &. S. P. G. Schultze-Lutter, "Schizophrenia Proneness Instrument, Adult Version (SPI-A)," Rome: Giovanni FioritiEditore, 2007.
  4. C. S. R. &. P. M. Siriwardhana, " Caregiving impacts on caregivers' mental health: A population-based cross-sectional study in rural Sri Lanka," Social Psychiatry and Psychiatric Epidemiology, vol. 48(7), pp. 1161-1167, 2013.
  5. J. R. A. &. M. V., " Muroff Virtual reality in the assessment and treatment of psychosis: a systematic review of its utility, acceptability, and effectiveness.," Psychological Medicine, vol. 48(3), pp. 362-391, 2018.
  6. M. B. &. E. P. M. Powers, "Virtual reality exposure therapy for anxiety disorders: A meta-analysis," Journal of Anxiety Disorders, vol. 22(3), pp. 561-569, 2008.
  7. "https://psmag.com/news/meet-prime-the-new-app-that-wants-to-help-treat-schizophrenia".
  8. "https://onemindpsyberguide.org/expert-review/fearfighter-expert-review/".
  9. "https://midlifegamergeek.com/2021/10/10/review-richies-plank-experience/".
  10. X. Z. H. C. S. L. J. &. H. G. Yao, "Machine Learning in Mental Health: A Systematic Review," Journal of Medical Internet Research,, vol. e16724, p. 22(4), 2020.
  11. J. L. Y. C. &. M. N. Maples-Keller, "Virtual reality exposure therapy for social anxiety disorder: A systematic review," Journal of Anxiety Disorders, vol. 102277, p. 74, 2020.
  12. R. C. A. G. C. L. J. H. E. M. D. K. N. S. L. ..&. Z. A. M. Kessler, " Short screening scales to monitor population prevalences and trends in non-specific psychological distress," Psychological Medicine, vol. 32(06), pp. 959-976, 2002.
  13. A. M. C. P. P. &. M. R. J. Heeren, "Attention bias modification for social anxiety: A systematic review and meta-analysis," Clinical Psychology Review, vol. 40, pp. 76-90, 2015.
  14. D. R. S. R. A. E. A. C. D. S. B. &. S. M. Freeman, "Virtual reality in the assessment, understanding, and treatment of mental health disorders," Psychological Medicine, vol. 47(14), pp. 2393-2400, 2017.
  15. A. E. R. T. W. F. H. &. R. W. T. Meuret, "Voluntary hyperventilation in the treatment of panic disorder - Functions of hyperventilation, their implications for breathing training, and recommendations for standardization," Clinical Psychology Review, vol. 25(3), pp. 285-306, 2005.
  16. C. S. B. B. R. M. &. G.-P. A. Botella, "Virtual reality exposure-based therapy for the treatment of post-traumatic stress disorder: A review of its efficacy, the adequacy of the treatment protocol, and its acceptability," Neuropsychiatric Disease and Treatment, vol. 11, p. 2533–2545, 2015.
  17. E. C. M. E. M. M. S. M. &. R. C. M. Børøsund, " How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer," Journal of Medical Internet Research , vol. e77, p. 16(3) , 2014.
  18. M. A. F. C. D. A. C. L. &. W. P. J. Pimentel, "The Challenge of Detecting Hypovolemia and Dehydration in Older Adults Using Augmented Reality Glasses," Journal of Medical Internet Research, vol. e111, p. 19(4), 2017.
  19. D. B. F. P. &. K. N. Dwyer, "Machine learning approaches for clinical psychology and psychiatry," Annual Review of Clinical Psychology, vol. 14, pp. 91-118, 2018.