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DOI Prefix: 10.47001/IRJIET
Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 445-452
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 05-11-2023
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.
(mental health disorders, Expert system, machine learning, treatment, diagnosis)
Mayadunne J.N.A, Withana W.D.T.S.J, K.D.M.I. Jayathilake, P.G.T. Dilmith, Uthpala Samarakoon, Samanthi Siriwardana, “MYALO: A System for Recognizing, Diagnosing, and Advising on Three Main Mental Illnesses” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 445-452, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710059
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