Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision
This work addresses mental disorder diagnosis for clinicians, but it appears incremental as it builds on existing frameworks without clear evidence of broad impact.
The paper tackles the problem of mental disorder classification by proposing a clinician's subjective approach (CSA) based on three-way decision, aiming to complement manual-based methods and improve diagnostic precision.
In psychiatric diagnosis, a contemporary data-driven, manual-based method for mental disorders classification is the most popular technique; however, it has several inevitable flaws. Using the three-way decision as a framework, we propose a unified model that stands for clinicians' subjective approach (CSA) analysis consisting of three parts: quantitative analysis, quantitative analysis, and evaluation-based analysis. A ranking list and a set of numerical weights based on illness magnitude levels according to the clinician's greatest degree of assumptions are the findings of the qualitative and quantitative investigation. We further create a comparative classification of illnesses into three groups with varying important levels; a three-way evaluation-based model is utilized in this study for the aim of understanding and portraying these results in a more clear way. This proposed method might be integrated with the manual-based process as a complementary tool to improve precision while diagnosing mental disorders