Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision
Wang, Huidong, Sourav, Md Sakib Ullah, Yang, Mengdi, Zhang, Jiaping
–arXiv.org Artificial Intelligence
Prevalence can be seen as having a lack of motivation to live, losing interest in everything among common people. Hence, they are frequently thriving towards psychiatric diagnosis than in the past days. Therefore, improper diagnosis of mental health disorders may lead to even more vulnerable consequences in a greater sense from an individual to a social perspective [38]. The traditional form of psychiatric diagnosis is much pretentious nowadays as few recent studies demonstrate several shortcomings within the widely established systems used for classifying mental disorders, namely, bipolar disorder, anxiety disorders, phobias, substance use disorder, mood disorders, and many others [2,3]. More often these recognized tools, such as DSM-5 [7] and ICD-11 [8], fails to distinguish between the proper and correct disorder diagnosis of a complex phenomenon in individual cases.
arXiv.org Artificial Intelligence
Apr-7-2023
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