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用于心理分类的支持向量机生成解释

Generating Explanations from Support Vector Machines for Psychological Classifications

作者:Insu Song;Joachim Diederich 加工时间:2015-08-23 信息来源:科技报告(Other) 索取原文[26 页]
关键词:机器学习技术;向量机;医药
摘 要:In recent years, machine learning techniques, such as support vector machines (SVMs), have shown significant potential as aids to the practice of medicine and to psychiatric classification. The application of machine learning techniques in psychiatric diagnosis has significant merit, because of the lack of standardized biological diagnostic tests. Conventionally, expert psychiatrists, consciously and unconsciously analyze the language of their patients for assessment purposes using diagnostic classification systems, such as DSM IV and ICD-10. To provide a more objective clinical diagnosis, SVMs have been applied to conversations of patients and clinicians.
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