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
翻译:摘要:在精神病诊断中,一种最常用的数据驱动的手动分类方法是最流行的技术,但它有一些不可避免的缺陷。我们提出了一个统一的模型,作为临床医生主观方法分析的三分量决策框架,包括三个部分:定量分析、定性分析和基于评价的分析。基于医生最大程度的假设,我们得出了一个排名列表和一组数字权重,这些数字权重基于疾病的重要程度级别。我们进一步将疾病进行了比较分类,分为三组,不同的重要级别在这个研究中采用了三态基于评价的模型,旨在更清楚地理解和描述这些结果。这种提议的方法可能与手动处理方法相结合,作为一种补充工具,以提高诊断精度。