Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision

TL;DR

This paper introduces a three-way decision framework to enhance mental disorder classification by integrating clinicians' subjective assessments with quantitative analysis, aiming to improve diagnostic accuracy.

Contribution

It proposes a unified three-way decision model that combines qualitative and quantitative clinician insights for more accurate mental disorder classification.

Findings

Development of a ranking list and numerical weights for illness severity

Classification of illnesses into three importance-based groups

A three-way evaluation model for clearer diagnosis representation

Abstract

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