Creating an Empirically Based Classification System for Mental Illness

精神障碍的诊断通常使用一套严格一致的诊断标准。例如，在DSM-5中，重度抑郁症的诊断要求至少满足9个症状标准中的5个。然而，DSM-5现在被广泛认为对研究人员和临床医生的工作有重要的限制。我的研究将通过完成一个基于人们经历精神疾病症状的模式的数据驱动的分类系统来克服这些限制。

Mental disorders are typically diagnosed using a set of strictly agreed diagnostic criteria. For example, in the DSM-5 a major depression diagnosis requires at least five of nine symptom criteria to be met. However, the DSM-5 is now widely agreed to have important limitations for the work of researchers and clinicians. My research will overcome those limitations by completing a data-driven classification system based on the patterns in the ways people experience symptoms of mental illness.