自动语言分析在精神分裂症和精神病临床 高危综合征中的应用

Application of automated analysis of language in schizophrenia and clinical high-risk for psychosis

语言反映个体的思维活动,因此语言障碍反映个体的思维障碍。自动语言分析是一种基于自然语言处理和机器学习的计算方法,主要用来处理和理解个体语言。常见分析指标有语义一致性和句法复杂性等,目前主要应用于识别精神分裂症和精神病临床高危综合征(CHR-P)以及预测CHR-P人群转化。研究表明,自动语言分析的优势在于敏感、准确和客观,且优于传统的量表评分。现就常见的自动语言分析指标及其应用进行综述。

Language reflects individual thinking,and language disturbance reflects thought disorder.Automated analysis of language(AAL)is a computational method based on natural language processing and machine learning,which is mainly used to process and understand individual language content.Common indicators include semantic coherence and syntactic complexity.AAL is mainly used to identify schizophrenia and clinical high-risk for psychosis(CHR-P),and predict the conversion of CHR-P.Research indicates that AAL is sensitive,accurate and objective,and better than clinical rating.This article reviews the common AAL indicators and related applications.