SYSTEM AND METHOD TO DISCOVER MEANINGFUL PATHS FROM LINKED OPEN DATA

    公开(公告)号:US20170103337A1

    公开(公告)日:2017-04-13

    申请号:US14878407

    申请日:2015-10-08

    CPC classification number: G06N20/00 G06F16/24578 G06N3/08 G06N5/02

    Abstract: A method, a system and a computer program product for searching a knowledge base and finding top-k meaningful paths for different concept pairs input by a user in linked open data utilizing the degree of association between concepts as the weight of the two concepts in a knowledge graph and to find the top-k shortest path as meaningful paths. A large corpus is used to train the association of different concept pairs. A deep learning based framework is used to learn a concept vector to represent the concept and the cosine similarity of the concept vector and an input concept vector indicating the degree of association of the vectors as the weight of these two concepts in the knowledge graph. The top-k meaningful paths are determined based on the weights and the shortest paths are provided for use by users as the meaningful paths.

    PROMPTING MEDICATION SAFETY TECHNOLOGY
    22.
    发明申请
    PROMPTING MEDICATION SAFETY TECHNOLOGY 审中-公开
    提供药物安全技术

    公开(公告)号:US20150248527A1

    公开(公告)日:2015-09-03

    申请号:US14194967

    申请日:2014-03-03

    CPC classification number: G06F19/326 G06F19/3456

    Abstract: Method, apparatus, and hospital information system for prompting medication safety. The method includes: extracting identifier information and execution time of a prescribed drug from a treatment information database; according to the identifier information of the drug, extracting a record related to the drug from an information database; for each contributor factor of the prescribed drug, determining an unsafe time interval corresponding to the contributor factor of the drug; extracting identifier information and execution time of a target factor from the treatment information database; and, in response to the target factor matching with a contributor factor of the drug and at least a part of the execution time of the target factor falling within the unsafe time interval corresponding to the matched contributor factor, prompting medication safety in the complete drug taking lifetime. Through adopting the present invention, internal data process can be optimized and medication safety can be improved.

    Abstract translation: 方法,仪器和医院信息系统,促进药物安全。 该方法包括:从治疗信息数据库提取规定药物的标识符信息和执行时间; 根据所述药物的识别信息,从信息数据库提取与所述药物有关的记录; 对于处方药物的每个贡献因子,确定与该药物的贡献因子相对应的不安全时间间隔; 从所述治疗信息数据库提取目标因子的标识符信息和执行时间; 并且响应于与所述药物的贡献因子匹配的目标因素以及所述目标因子的至少一部分执行时间落入与所述匹配贡献者因子对应的所述不安全时间间隔内,从而促使完全服用药物的药物安全性 一生。 通过采用本发明,可以优化内部数据处理,提高药物安全性。

    Text representation method and apparatus

    公开(公告)号:US10747769B2

    公开(公告)日:2020-08-18

    申请号:US14920341

    申请日:2015-10-22

    Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

    METHOD AND APPARATUS FOR PROCESSING MEDICAL DATA

    公开(公告)号:US20180366226A1

    公开(公告)日:2018-12-20

    申请号:US16053086

    申请日:2018-08-02

    Abstract: A computer implemented method for processing a plurality of medical indication conditions on a computer that includes a processor communicatively coupled to a memory includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters, and forming a plurality of conditional segments based on respective values of the plurality of parameters defined in the plurality of predetermined indication conditions. Each conditional segment of the plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of the plurality of parameters. The plurality of predetermined indication conditions includes a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner.

    LONG STEP AND HEALTHY CREDIT LIMIT ENHANCEMENT BASED ON MARKOV DECISION PROCESSES WITHOUT EXPERIMENTAL DESIGN
    26.
    发明申请
    LONG STEP AND HEALTHY CREDIT LIMIT ENHANCEMENT BASED ON MARKOV DECISION PROCESSES WITHOUT EXPERIMENTAL DESIGN 审中-公开
    基于没有实验设计的MARKOV决策过程的长期和健康信用额度增长

    公开(公告)号:US20170046779A1

    公开(公告)日:2017-02-16

    申请号:US14826431

    申请日:2015-08-14

    CPC classification number: G06Q40/025 G06N7/005 G06N7/08

    Abstract: A method, a computer program product, and a computer system for making a decision of long step and healthy credit limit enhancement. A computer constructs a Markov decision process graph which includes nodes and edges, wherein the nodes represent respective states of one or more customer segments and the edges represent paths based on historical data. The computer applies long step actions for a respective one of the one or more customer segments, wherein the long step actions enhance more than one credit limit levels. The computer calculates gained values of the long step actions. The computer chooses an optimal long step action from the long step actions, wherein the optimal long step action has a maximum gained value.

    Abstract translation: 一种方法,计算机程序产品和计算机系统,用于做出长期健康的信用限度增长的决定。 计算机构建包括节点和边缘的马尔可夫决策过程图,其中节点表示一个或多个客户分段的相应状态,并且边缘表示基于历史数据的路径。 计算机对一个或多个客户分段中的相应一个客户分段应用长步骤动作,其中长步骤动作增强多于一个信用限额水平。 计算机计算长步骤动作的获得值。 计算机从长步骤动作中选择最佳的长步骤动作,其中最佳长步骤动作具有最大获得值。

    TEXT REPRESENTATION METHOD AND APPARATUS
    27.
    发明申请

    公开(公告)号:US20160154800A1

    公开(公告)日:2016-06-02

    申请号:US14920341

    申请日:2015-10-22

    Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

    METHOD AND APPARATUS FOR PROCESSING MEDICAL DATA
    28.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING MEDICAL DATA 审中-公开
    用于处理医疗数据的方法和装置

    公开(公告)号:US20140244299A1

    公开(公告)日:2014-08-28

    申请号:US14186079

    申请日:2014-02-21

    CPC classification number: G16H50/20 G06F19/00 G16H10/60

    Abstract: Method and apparatus for processing medical data. The method for processing indication conditions includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters and forming a plurality of conditional segments based on respective values of the plurality of parameters, which respectively correspond to a plurality of combinations of value ranges of the plurality of parameters. The method for processing patient data includes obtaining distribution information of the patient data in the plurality of conditional segments formed above and determining a matching relationship of patient data with at least one indication condition. The apparatuses correspond to the methods. Based on this, a matching relation of patient data with the plurality of indication conditions is determined directly based on distribution of patient data in respective conditional segments, which reduces/avoids chances of inefficiency caused by multiple data acquisitions, conversions, and analysis and improves processing efficiency of patient data.

    Abstract translation: 用于处理医疗数据的方法和装置。 用于处理指示条件的方法包括获得与多个参数相关的多个预定指示条件,并且基于多个参数的相应值形成多个条件段,分别对应于多个参数的值范围的多个组合 多个参数。 用于处理患者数据的方法包括获得上述多个条件段中的患者数据的分布信息,并且确定患者数据与至少一个指示条件的匹配关系。 这些装置对应于这些方法。 基于此,基于各个条件段中的患者数据的分布直接确定患者数据与多个指示条件的匹配关系,其减少/避免由多个数据获取,转换和分析引起的低效率的机会,并且改善处理 病人资料的效率。

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