{"title":"框架中的断裂:精神病学分类系统的局限性\u2029。","authors":"Munira Kapadia, Maherra Desai, Rajesh Parikh","doi":"10.31887/DCNS.2020.22.1/rparikh","DOIUrl":null,"url":null,"abstract":"<p><p>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.\u2029.</p>","PeriodicalId":54343,"journal":{"name":"Dialogues in Clinical Neuroscience","volume":"22 1","pages":"17-26"},"PeriodicalIF":8.3000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8f/ac/DialoguesClinNeurosci-22-17.PMC7365290.pdf","citationCount":"7","resultStr":"{\"title\":\"Fractures in the framework: limitations of classification systems in psychiatry\\u2029.\",\"authors\":\"Munira Kapadia, Maherra Desai, Rajesh Parikh\",\"doi\":\"10.31887/DCNS.2020.22.1/rparikh\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.\\u2029.</p>\",\"PeriodicalId\":54343,\"journal\":{\"name\":\"Dialogues in Clinical Neuroscience\",\"volume\":\"22 1\",\"pages\":\"17-26\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8f/ac/DialoguesClinNeurosci-22-17.PMC7365290.pdf\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dialogues in Clinical Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.31887/DCNS.2020.22.1/rparikh\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dialogues in Clinical Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.31887/DCNS.2020.22.1/rparikh","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Fractures in the framework: limitations of classification systems in psychiatry .
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. .
期刊介绍:
Dialogues in Clinical Neuroscience (DCNS) endeavors to bridge the gap between clinical neuropsychiatry and the neurosciences by offering state-of-the-art information and original insights into pertinent clinical, biological, and therapeutic aspects. As an open access journal, DCNS ensures accessibility to its content for all interested parties. Each issue is curated to include expert reviews, original articles, and brief reports, carefully selected to offer a comprehensive understanding of the evolving landscape in clinical neuroscience. Join us in advancing knowledge and fostering dialogue in this dynamic field.