IDENTIFICATION OF CODABLE SECTIONS IN MEDICAL DOCUMENTS
    41.
    发明公开
    IDENTIFICATION OF CODABLE SECTIONS IN MEDICAL DOCUMENTS 审中-公开
    医疗文件中的可识别部分的识别

    公开(公告)号:EP3210140A1

    公开(公告)日:2017-08-30

    申请号:EP15853176.4

    申请日:2015-10-20

    CPC classification number: G16H10/60 G06F19/00 G06F19/32 G06F19/321 G16H15/00

    Abstract: This disclosure describes systems, devices, and techniques for identifying sections of medical documents that are suitable for automated medical coding. In one example, a computer-implemented method includes receiving, by one or more processors, the medical document, wherein the medical document comprises a plurality of sections. The method also may include determining, by the one or more processors and via application of a classification model to each section of the plurality of sections, codability indicia for each section of the plurality of sections, wherein the codability indicia represents whether the respective section is suitable for automated medical coding. The method may include outputting, by the one or more processors, the respective codability indicia for each section of the plurality of sections.

    Abstract translation: 本公开描述了用于识别适合于自动医疗编码的医疗文档的部分的系统,设备和技术。 在一个示例中,一种计算机实现的方法包括通过一个或多个处理器接收医疗文档,其中医疗文档包括多个部分。 该方法还可以包括通过一个或多个处理器并且通过将应用分类模型应用于多个部分中的每个部分来确定多个部分中的每个部分的可编码性标记,其中可编码性标记表示相应部分是 适合自动医疗编码。 该方法可以包括由一个或多个处理器输出多个部分中的每个部分的相应可编码性标记。

    PRESENTING RESULTS OF VISUAL ATTENTION MODELING
    42.
    发明公开
    PRESENTING RESULTS OF VISUAL ATTENTION MODELING 审中-公开
    娇韵诗VE ERGEBNISSEN EINER VISUELLEN AUFMERKSAMKEITSMODELLIERUNG

    公开(公告)号:EP3008665A1

    公开(公告)日:2016-04-20

    申请号:EP14810266.8

    申请日:2014-06-02

    Abstract: At least some embodiments of the present disclosure feature systems and methods for assessing the impact of visual features within a region of a scene. With the input of a visual representation of a scene and at least one selected region within the scene, the system applies a visual attention model to the visual representation to determine visual conspicuity of the at least one selected region. The system computes feature-related data associated with a plurality of features of the at least one selected region. Based on the visual conspicuity and the feature-related data, the system assesses an impact that at least one of the features within the at least one selected region have on the visual conspicuity.

    Abstract translation: 本公开的至少一些实施例用于评估场景区域内的视觉特征的影响的系统和方法。 通过输入场景的视觉表示和场景内的至少一个所选区域,系统将视觉注意模型应用于视觉表示以确定至少一个所选区域的视觉可见性。 该系统计算与至少一个所选区域的多个特征相关联的特征相关数据。 基于视觉显着性和特征相关数据,系统评估至少一个所选区域中的至少一个特征对视觉显着性的影响。

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