System and Method for Assessing Suicide Risk of a Patient Based Upon Non-Verbal Characteristics of Voice Data
    6.
    发明申请
    System and Method for Assessing Suicide Risk of a Patient Based Upon Non-Verbal Characteristics of Voice Data 有权
    基于语音数据非语言特征评估患者自杀风险的系统和方法

    公开(公告)号:US20160099011A1

    公开(公告)日:2016-04-07

    申请号:US14893253

    申请日:2014-05-23

    摘要: A method for assessing suicide risk for a human subject including receiving recorded voice data of the subject; and classifying the subject as suicidal or non-suicidal based upon a computerized analysis of one or more nonverbal characteristics of the speech data, especially features associated with a breathy phonation type. The analysis of the nonverbal characteristics of the voice data can include an analysis of acoustic characteristics of speech, and/or an analysis of prosodic and voice quality-related features of the voice data. Related apparatus, systems, techniques and articles are also described.

    摘要翻译: 评估人类受试者自杀风险的方法,包括接收受试者的记录声音数据; 并且基于对语音数据的一个或多个非语言特征的计算机化分析,特别是与呼吸发音类型相关联的特征,将该主题分类为自杀或非自杀。 语音数据的非语言特性的分析可以包括对语音的声学特性的分析和/或语音数据的韵律和语音质量相关特征的分析。 还描述了相关设备,系统,技术和物品。

    Processing Text with Domain-Specific Spreading Activation Methods
    10.
    发明申请
    Processing Text with Domain-Specific Spreading Activation Methods 有权
    使用域特定扩展激活方法处理文本

    公开(公告)号:US20150081280A1

    公开(公告)日:2015-03-19

    申请号:US14553562

    申请日:2014-11-25

    IPC分类号: G06F17/28 G06F17/27

    摘要: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.

    摘要翻译: 一种使用域特定扩展激活来执行自由文本的自然语言处理的方法。 本发明的实施例通过模拟人类识别,语义和情景记忆方法,使用基于神经认知理论的算法对自由文本进行自我标记。 本发明的实施例可以用于处理用于分配计费代码的临床文本,分析自杀笔记或法定发现材料以及处理其他文本集合。 此外,本发明的实施例可以用于更有效地搜索诸如包含大量医疗出版物的数据库之类的大型数据库。