Department of Psychiatry, Jaslok Hospital & Research Centre, Mumbai, India.
Dialogues Clin Neurosci. 2020 Mar;22(1):17-26. doi: 10.31887/DCNS.2020.22.1/rparikh.
This article examines the limitations of existing classification systems from the historical, cultural, political, and legal perspectives. It covers the evolution of classification systems with particular emphasis on the DSM and ICD systems. While pointing out the inherent Western bias in these systems, it highlights the potential of misuse of these systems to subserve other agendas. It raises concerns about the reliability, validity, comorbidity, and heterogeneity within diagnostic categories of contemporary classification systems. Finally, it postulates future directions in alternative methods of diagnosis and classification factoring in advances in artificial intelligence, machine learning, genetic testing, and brain imaging. In conclusion, it emphasizes the need to go beyond the limitations inherent in classifications systems to provide more relevant diagnoses and effective treatments. .
本文从历史、文化、政治和法律角度审视了现有分类系统的局限性。它涵盖了分类系统的演变，特别强调了 DSM 和 ICD 系统。在指出这些系统中固有的西方偏见的同时，它强调了这些系统可能被滥用以服务其他议程。它对当代分类系统中诊断类别内的可靠性、有效性、共病和异质性表示担忧。最后，它推测了在人工智能、机器学习、基因测试和脑成像等方面的进展中，替代诊断和分类方法的未来方向。总之，它强调需要超越分类系统固有的局限性，提供更相关的诊断和有效的治疗。
