Method for creating medical treatment models from a database of medical records
    1.
    发明授权
    Method for creating medical treatment models from a database of medical records 有权
    从医疗记录数据库创建医疗模型的方法

    公开(公告)号:US08234130B2

    公开(公告)日:2012-07-31

    申请号:US11915851

    申请日:2006-06-08

    IPC分类号: G06Q50/00

    摘要: A medical guide service for a doctor, a patient, a general user, and a medical institution. The medical guide system may include a unit that creates medical record data and a unit that extracts the medical record data for each patient. The unit that extracts the medical record data uses examination data before a predetermined dividing point in a chronological order as before-dividing-point data and treatment data after the predetermined dividing point in the chronological order as after-dividing-point data. A unit extracts a treatment pattern from the after-dividing-point data. Another unit derives a rule that associates the examination results with the treatment pattern from the treatment pattern and the before-dividing-point data.

    摘要翻译: 医生,病人,普通用户和医疗机构的医疗指导服务。 医疗指南系统可以包括创建医疗记录数据的单元和提取每个患者的病历数据的单元。 提取医疗记录数据的单元使用按照时间顺序的预定分割点之前的检查数据作为分割前数据和按照时间顺序的预定分割点之后的处理数据作为分割后数据。 单元从分割后数据中提取处理模式。 另一个单位得出一个规则,将检查结果与治疗方式和分割前数据相结合。

    Classification factor detection
    2.
    发明授权
    Classification factor detection 有权
    分类因子检测

    公开(公告)号:US07337186B2

    公开(公告)日:2008-02-26

    申请号:US10890419

    申请日:2004-07-13

    IPC分类号: G06F7/00 G06F17/30

    摘要: Detects a condition for classification of data. Apparatus detects a set of some constituents as a factor of the classification. Apparatus has means for selecting a pattern which is a set of constituents; means of selecting a second pattern formed of the first pattern and at least one constituent added to the first pattern; means of generating an evaluation value for a measure of classification of the plurality of objects under a condition including the first pattern but not the second pattern on the basis of the number of objects satisfying the classification condition in the plurality of objects classified into the first group and the number of objects satisfying the classification condition in the objects classified into the second group; and means of outputting the first and second patterns as a factor of classification when the measure indicated by the evaluation value exceeds a reference measure.

    摘要翻译: 检测数据分类的条件。 设备检测一组成分作为分类因素。 装置具有用于选择作为一组成分的图案的装置; 选择由第一图案形成的第二图案和添加到第一图案的至少一个成分的装置; 基于在分类为第一组的多个对象中满足分类条件的对象的数量,生成包括第一图案但不包括第二图案的条件下的多个对象的分类度量的评估值的装置 以及满足分类为第二组的对象中的分类条件的对象的数量; 以及当由评估值指示的度量超过参考度量时,输出第一和第二模式作为分类因子的装置。

    Information display
    3.
    发明授权
    Information display 有权
    信息显示

    公开(公告)号:US07173632B2

    公开(公告)日:2007-02-06

    申请号:US10656733

    申请日:2003-09-04

    IPC分类号: G09G5/00

    CPC分类号: G06F17/3087 G06F17/30241

    摘要: The information display system of the present invention has a database in which objects including position information and attribute information different from the position information are stored, and electronic map storage section, a set forming section which forms at least a certain number of sets of objects positioned in proximity with each other and including a set of objects, a section for selecting the pair of objects contained in each of the sets by locating position coordinates in the electronic map on which display is performed, assigning an indicating figure in variable indicating form, and designating position coordinates for the objects and the indicating figure to be displayed, and a section for placing objects and the indicating figure on the electronic map by using the designated position coordinates.

    摘要翻译: 本发明的信息显示系统具有数据库,其中包含位置信息和与位置信息不同的属性信息的对象被存储,电子地图存储部分,至少形成一定数量的对象集合的集合形成部分 彼此相邻并且包括一组对象,用于通过在执行显示的电子地图中定位位置坐标来选择包含在每个集合中的一对对象的部分,以可变指示形式分配指示图,以及 指定要显示的对象和指示图形的位置坐标,以及通过使用指定的位置坐标将对象和指示图形放置在电子地图上的部分。

    Classification factor detection
    4.
    发明申请
    Classification factor detection 有权
    分类因子检测

    公开(公告)号:US20050021554A1

    公开(公告)日:2005-01-27

    申请号:US10890419

    申请日:2004-07-13

    摘要: Detects a condition for classification of data. Apparatus detects a set of some constituents as a factor of the classification. Apparatus has means for selecting a pattern which is a set of constituents; means of selecting a second pattern formed of the first pattern and at least one constituent added to the first pattern; means of generating an evaluation value for a measure of classification of the plurality of objects under a condition including the first pattern but not the second pattern on the basis of the number of objects satisfying the classification condition in the plurality of objects classified into the first group and the number of objects satisfying the classification condition in the objects classified into the second group; and means of outputting the first and second patterns as a factor of classification when the measure indicated by the evaluation value exceeds a reference measure.

    摘要翻译: 检测数据分类的条件。 设备检测一组成分作为分类因素。 装置具有用于选择作为一组成分的图案的装置; 选择由第一图案形成的第二图案和添加到第一图案的至少一个成分的装置; 基于在分类为第一组的多个对象中满足分类条件的对象的数量,生成包括第一图案但不包括第二图案的条件下的多个对象的分类度量的评估值的装置 以及满足分类为第二组的对象中的分类条件的对象的数量; 以及当由评估值指示的度量超过参考度量时,输出第一和第二模式作为分类因子的装置。

    MEDICAL GUIDE SYSTEM
    5.
    发明申请
    MEDICAL GUIDE SYSTEM 有权
    医疗指导系统

    公开(公告)号:US20100105989A1

    公开(公告)日:2010-04-29

    申请号:US11915851

    申请日:2006-06-08

    IPC分类号: A61B5/00 G06Q50/00 G06Q10/00

    摘要: [PROBLEMS] To provide a medial guide to doctors, patients, general users, and medical institutes.[MEANS FOR SOLVING PROBLEMS] The following steps are executed in a medical guide system of the invention. Data on a medical card where examination data including examination items, examination dates and times, and examination results and therapy data including therapies, therapy dates and times, and therapy results are electronically recorded for each patient. Pre-division point data which is the examination data before a predetermined division point in time series of the medical card data and post-division point data which is the examination data after the predetermined division point are extracted for each patient. Therapy patterns with frequencies equal to or higher than a predetermined frequency are extracted from time post-division point data. A rule to associate the examination results with the therapy patterns is derived from the therapy patterns and pre-division point data.

    摘要翻译: [问题]为医生,病人,一般用户和医疗机构提供内部指南。 解决问题的手段以下步骤在本发明的医疗指南系统中执行。 电子记录医疗卡上的数据,其中包括检查项目,检查日期和时间以及检查结果以及包括治疗,治疗日期和时间以及治疗结果在内的治疗数据被每个患者电子记录。 作为对于每个患者提取作为医疗卡数据的时间序列的预定分割点之前的检查数据的预分割点数据和作为预定分割点之后的检查数据的分割后数据。 从时间分割点数据中提取频率等于或高于预定频率的治疗模式。 将检查结果与治疗模式相关联的规则来自治疗模式和预分数据。

    Frequent pattern mining apparatus, frequent pattern mining method, and program and recording medium therefor
    6.
    发明授权
    Frequent pattern mining apparatus, frequent pattern mining method, and program and recording medium therefor 失效
    频繁模式挖掘装置,频繁模式挖掘方法及其程序和记录介质

    公开(公告)号:US07379937B2

    公开(公告)日:2008-05-27

    申请号:US10916074

    申请日:2004-08-11

    申请人: Akihiro Inokuchi

    发明人: Akihiro Inokuchi

    IPC分类号: G06F17/30

    摘要: Efficiently mining frequent subgraphs contained commonly in a plurality of objects by considering abstraction. A frequent pattern mining apparatus which mines a set of frequent subgraphs contained in a plurality of objects including: a conceptual hierarchy database which stores correspondence between multiple predetermined types of component and a superordinate conceptual element; a mining candidate subgraph generator which generates a set of mining candidate subgraphs using the frequent subgraphs which have already been mined; a weighted support calculator which calculates weighted support of the mining candidate subgraphs; a superordinate concept candidate selector which selects a second mining candidate subgraph to be a superordinate conceptual pattern of a first mining candidate subgraph; and a frequent subgraph adder which adds the second mining candidate subgraph to the set of mining candidate subgraphs if the first mining candidate subgraph and the second mining candidate subgraph are not identical in weighted support.

    摘要翻译: 通过考虑抽象,有效挖掘多个对象中通常包含的频繁子图。 一种频繁模式挖掘装置,其挖掘包含在多个对象中的一组频繁子图,包括:存储多个预定类型的分量与上位概念元素之间的对应关系的概念层级数据库; 挖掘候选子图生成器,其使用已经开采的频繁子图生成一组挖掘候选子图; 计算挖掘候选子图的加权支持的加权支持计算器; 选择第二挖掘候选子图作为第一挖掘候选子图的上级概念模式的上级概念候选选择器; 以及频繁子图加法器,如果第一挖掘候选子图和第二挖掘候选子图在加权支持中不相同,则将第二挖掘候选子图添加到挖掘候选子图集合。

    Frequent changing pattern extraction device
    7.
    发明授权
    Frequent changing pattern extraction device 失效
    频繁改变模式提取装置

    公开(公告)号:US08326885B2

    公开(公告)日:2012-12-04

    申请号:US12919079

    申请日:2009-01-13

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30958

    摘要: A frequent changing pattern extraction device which extracts a frequent changing pattern from an ever-changing network structure includes: a conversion unit which converts each of a plurality of graph sequences into an operator sequence by expressing changes, from a first graph included in the graph sequence to a second graph which is temporally adjacent to the first graph, using operators indicating operations necessary to transform the first graph into the second graph, each graph sequence including a plurality of graphs that show temporal changes in the graphs and each of the graphs including a vertex corresponding to a data piece and an edge corresponding to a link between data pieces; and an extraction unit which extracts an operator subsequence that appears at least a predetermined number of times in the plurality of operator sequences corresponding to the plurality of graph sequences, based on the anti-monotonicity used in the Apriori algorithm.

    摘要翻译: 从不断变化的网络结构中提取频繁变化的模式的频繁变化模式提取装置包括:转换单元,其通过从图形序列中包括的第一图形表达变化来将多个图表序列中的每一个转换为运算符序列 到第二图,其在时间上与第一图相邻,使用指示将第一图变换为第二图所需的操作的运算符,每个图序列包括显示图中的时间变化的多个图,并且每个图包括 对应于数据段的顶点和对应于数据段之间的链接的边缘; 以及提取单元,其基于在Apriori算法中使用的反单调性,提取在与多个图表序列相对应的多个运算符序列中出现至少预定次数的运算符子序列。

    FREQUENT CHANGING PATTERN EXTRACTION DEVICE
    8.
    发明申请
    FREQUENT CHANGING PATTERN EXTRACTION DEVICE 失效
    频繁更改图案提取装置

    公开(公告)号:US20110004631A1

    公开(公告)日:2011-01-06

    申请号:US12919079

    申请日:2009-01-13

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30958

    摘要: A frequent changing pattern extraction device (100) which extracts a frequent changing pattern from an ever-changing network structure includes: a conversion unit (12) which converts each of a plurality of graph sequences into an operator sequence by expressing changes, from a first graph included in the graph sequence to a second graph which is temporally adjacent to the first graph, using operators indicating operations necessary to transform the first graph into the second graph, each graph sequence including a plurality of graphs that show temporal changes in the graphs and each of the graphs including a vertex corresponding to a data piece and an edge corresponding to a link between data pieces; and an extraction unit (18) which extracts an operator subsequence that appears at least a predetermined number of times in the plurality of operator sequences corresponding to the plurality of graph sequences, based on the anti-monotonicity used in the Apriori algorithm.

    摘要翻译: 从不断变化的网络结构中提取频繁变化模式的频繁变化模式提取装置(100)包括:转换单元(12),其通过表示从第一个 使用指示将第一图形变换为第二图形所必需的操作的运算符,每个图形序列包括显示曲线图中的时间变化的多个图形,以及图形序列中包含的图形,其与时间上与第一图形相邻, 每个图形包括对应于数据段的顶点和对应于数据段之间的链接的边缘; 以及提取单元(18),其基于在Apriori算法中使用的反单调性,提取在与多个图表序列相对应的多个运算符序列中出现至少预定次数的运算符子序列。

    MULTIDIMENSIONAL DATA ANALYSIS METHOD, MULTIDIMENSIONAL DATA ANALYSIS APPARATUS, AND PROGRAM
    9.
    发明申请
    MULTIDIMENSIONAL DATA ANALYSIS METHOD, MULTIDIMENSIONAL DATA ANALYSIS APPARATUS, AND PROGRAM 审中-公开
    多维数据分析方法,多维数据分析装置和程序

    公开(公告)号:US20100274756A1

    公开(公告)日:2010-10-28

    申请号:US12743585

    申请日:2008-11-18

    IPC分类号: G06F17/30

    摘要: A highly-usable multidimensional data analysis method for performing interactive analysis on, for example, medical/administrative data stored in a hospital information system to support knowledge discovery about clinical decision-making is proposed. A multidimensional data analysis apparatus (200) includes: a database (201) separately holding an interval table I indicating intervals and a hierarchy table T indicating a hierarchical structure of each dimension of multidimensional data; an interval selection operation unit (202c) selecting an interval I′ having a user-requested property c from the interval table I, using an interval selection operation g; a join operation unit (202b) joining a set of intervals with a join operation (3 in the interval selected by the interval selection operation unit (202c), using the join operation β; and an aggregation operation unit (202a) generating a multidimensional cube from a result in the join operation unit (202b), using an aggregation operation α.

    摘要翻译: 提出了一种高度可用的多维数据分析方法,用于对医院信息系统中存储的医疗/行政数据进行交互式分析,以支持关于临床决策的知识发现。 多维数据分析装置(200)包括:数据库(201),分别保存指示间隔的间隔表I和指示多维数据的每个维度的分层结构的层次表T; 间隔选择操作单元,使用间隔选择操作g从间隔表I中选择具有用户请求属性c的间隔I'; 将一组间隔与加入操作(间隔选择操作单元(202c)选择的间隔中的3)连接的联接操作单元(202b),以及聚集操作单元(202a),生成多维 使用聚合操作α,来自加入运算部(202b)的结果的立方体。

    Graph structured data processing method and system, and program therefor
    10.
    发明授权
    Graph structured data processing method and system, and program therefor 失效
    图形结构化数据处理方法和系统及其程序

    公开(公告)号:US06985890B2

    公开(公告)日:2006-01-10

    申请号:US10154516

    申请日:2002-05-23

    申请人: Akihiro Inokuchi

    发明人: Akihiro Inokuchi

    IPC分类号: G06N5/02

    CPC分类号: G06F17/30958

    摘要: The efficiency of an AGM algorithm is further improved. For an AGM algorithm that can efficiently extract, from a graph database including graph structured data, graph (frequent graph) data having a support level equal to or greater than the minimum support level, a function “relabel” for ordering the vertex labels and edge labels of the graph is executed (step 1). Further, for a function “Newjoin”, for employing a set Fk of adjacency matrixes that represent a size k frequent graph, for generating a set Ck+1 of adjacency matrixes, which represent a size k+1 candidate frequent graph, a fourth condition for coupling a first generator matrix to a second generator matrix is added to the three conditions of the AGM algorithm only when the first generator matrix is a canonical form.

    摘要翻译: AGM算法的效率进一步提高。 对于可以从包括图形结构数据的图形数据库有效提取具有等于或大于最小支持级别的支持级别的图形(频繁图形)数据的AGM算法,可以使用用于排列顶点标签和边缘的函数“重新标记” 执行图形的标签(步骤1)。 此外,对于函数“Newjoin”,为了使用表示大小k频率图的相邻矩阵的集合F k,用于生成邻接矩阵的集合C k + 1,其表示尺寸k + 1候选频率图,仅当第一生成矩阵是规范形式时,将第一生成矩阵耦合到第二生成矩阵的第四条件被添加到AGM算法的三个条件中。