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1.发明申请公开(公告)号：US20120041277A1
公开(公告)日：2012-02-16
申请号：US12855068
申请日：2010-08-12
IPC分类号： A61B5/00
CPC分类号： A61B5/0205 , A61B5/02055 , A61B5/021 , A61B5/024 , A61B5/0402 , A61B5/14542 , A61B5/7257 , A61B5/726 , G16H50/70
摘要： A system and method for predicting near term measurements of a patient includes a stream processor configured to summarize raw measurements from patients into signatures and construct optimal prediction models based on previously obtained signatures. A similar patient tracker is configured to monitor similar patient information for a query patient. The similar patient information is determined based on a similarity between the query patient and signatures of other patients. A model analyzer is configured to employ retrofitted optimal prediction models from similar patients to predict near term measurements of the query patient.
摘要翻译： 用于预测患者的近期测量的系统和方法包括流处理器，其被配置为将来自患者的原始测量总结为签名，并且基于先前获得的签名构建最佳预测模型。 类似的患者跟踪器被配置为监视查询患者的类似患者信息。 基于查询患者和其他患者的签名之间的相似性来确定类似的患者信息。 模型分析器被配置为使用来自类似患者的改进的最佳预测模型来预测查询患者的近期测量。
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公开(公告)号：US20120041772A1
公开(公告)日：2012-02-16
申请号：US12855060
申请日：2010-08-12
IPC分类号： G06Q50/00
摘要： A system and method for predicting patient prognosis includes a similarity module configured in program storage media to provide a similarity function for a data source and compute similarity scores for pairs of patients. An alignment module is configured to align a query patient to a best anchor timestamp of a similar patient or patients so that a comparison between the query patient and at least one similar patient is provided. A prediction module is configured to predict a long-term outcome measure of the query patient based on data from the at least one similar patient.
摘要翻译： 用于预测患者预后的系统和方法包括在程序存储介质中配置的相似性模块，以为数据源提供相似性功能，并计算患者对的相似性评分。 配对模块被配置成将查询患者与相似患者或患者的最佳锚定时间戳对齐，以便提供查询患者与至少一个类似患者之间的比较。 预测模块被配置为基于来自所述至少一个相似患者的数据来预测所述查询患者的长期结果测量。
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3.发明授权Mining temporal patterns in longitudinal event data using discrete event matrices and sparse coding 有权使用离散事件矩阵和稀疏编码挖掘纵向事件数据中的时间模式公开(公告)号：US08583586B2
公开(公告)日：2013-11-12
申请号：US13011632
申请日：2011-01-21
申请人： Shahram Ebadollahi , Jianying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jianying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.
摘要翻译： 示出了用于事件模式挖掘的方法和系统，其包括将可测量几何空间中的纵向事件数据表示为使用空间时间形状的时间事件矩阵表示（TEMR），其中事件数据被组织成事件类型的分级类别并执行时间事件模式 通过使用约束稀疏编码框架在所述TEMR的空间时间形状之间定位视觉事件模式来利用处理器进行挖掘。
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4.发明申请METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AGGREGATING POPULATION DATA 审中-公开用于聚集人口数据的方法，系统和计算机程序产品公开(公告)号：US20130231953A1
公开(公告)日：2013-09-05
申请号：US13409890
申请日：2012-03-01
CPC分类号： G06Q50/22
摘要： A system, method and program product for matching members of a population, e.g., patients, based on member similarities. Patients are mapped to a bipartite graph with patient nodes connected by weighted edges to clustered factor nodes, are clustered categorically. As a new patient query is received, a similarity measure for each other patient is generated for each cluster by comparing cluster edges. The cluster similarity measures are aggregated for each patient to provide a global closeness measure to every other patient. Based on the global closeness measure, a list of the closest patients is displayed and measurement feedback may be provided.
摘要翻译： 一种系统，方法和程序产品，用于根据成员的相似性来匹配人群，例如患者的成员。 病人被映射到一个二分图，患者节点通过加权边缘连接到聚类因子节点，被明确地聚类。 当接收到新的患者查询时，通过比较群集边缘，为每个群集生成每个其他患者的相似性度量。 针对每个患者聚集群集相似性度量，以向每个其他患者提供全球接近度量度。 根据全球接近度测量，显示最接近患者的列表，并可提供测量反馈。
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5.发明申请公开(公告)号：US20130282393A1
公开(公告)日：2013-10-24
申请号：US13611366
申请日：2012-09-12
申请人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
IPC分类号： G06Q50/22
摘要： Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.
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6.发明申请MINING TEMPORAL PATTERNS IN LONGITUDINAL EVENT DATA USING DISCRETE EVENT MATRICES AND SPARSE CODING 有权使用离散事件矩阵和稀疏编码的长期事件数据挖掘时间模式公开(公告)号：US20120191640A1
公开(公告)日：2012-07-26
申请号：US13011632
申请日：2011-01-21
申请人： Shahram Ebadollahi , Jiaying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jiaying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.
摘要翻译： 示出了用于事件模式挖掘的方法和系统，其包括将可测量几何空间中的纵向事件数据表示为使用空间时间形状的时间事件矩阵表示（TEMR），其中事件数据被组织成事件类型的分级类别并执行时间事件模式 通过使用约束稀疏编码框架在所述TEMR的空间时间形状之间定位视觉事件模式来利用处理器进行挖掘。
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7.发明申请COMBINING KNOWLEDGE AND DATA DRIVEN INSIGHTS FOR IDENTIFYING RISK FACTORS IN HEALTHCARE 审中-公开组合知识和数据驱动程序来识别健康护理中的风险因素公开(公告)号：US20130282390A1
公开(公告)日：2013-10-24
申请号：US13451982
申请日：2012-04-20
申请人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jianying Hu , Dijun Luo , Marianthi Markatou , Jimeng Sun , Fei Wang
IPC分类号： G06Q50/22
摘要： Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.
摘要翻译： 风险因素识别的系统和方法包括从个人资料中确定第一组风险因素。 从用户输入和知识源中的至少一个识别出第二组风险因素。 通过从第一组中选择一些增加第二组风险因子的风险因素来确定组合的预测感兴趣条件的风险因子列表，第一组与第二组合使用处理器。
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公开(公告)号：US08566268B2
公开(公告)日：2013-10-22
申请号：US13070084
申请日：2011-03-23
申请人： Shahram Ebadollahi , Jimeng Sun , Fei Wang
发明人： Shahram Ebadollahi , Jimeng Sun , Fei Wang
摘要： A system and method for a composite distance metric leveraging multiple expert judgments includes inputting a data distribution of multiple expert judgments stored on a computer readable storage medium. Base distance metrics are converted into neighborhoods for comparison, wherein each base distance metric represents an expert. The neighborhoods are combined to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric.
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9.发明申请SYSTEM AND METHOD FOR COMPOSITE DISTANCE METRIC LEVERAGING MULTIPLE EXPERT JUDGMENTS 有权用于组合距离的系统和方法度量指标多项专家评估公开(公告)号：US20120089551A1
公开(公告)日：2012-04-12
申请号：US13070084
申请日：2011-03-23
申请人： SHAHRAM EBADOLLAHI , Jimeng Sun , Fei Wang
发明人： SHAHRAM EBADOLLAHI , Jimeng Sun , Fei Wang
IPC分类号： G06N5/02
摘要： A system and method for a composite distance metric leveraging multiple expert judgments includes inputting a data distribution of multiple expert judgments stored on a computer readable storage medium. Base distance metrics are converted into neighborhoods for comparison, wherein each base distance metric represents an expert. The neighborhoods are combined to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric.
摘要翻译： 利用多个专家判断的用于复合距离度量的系统和方法包括输入存储在计算机可读存储介质上的多个专家判断的数据分布。 基本距离度量被转换为邻域用于比较，其中每个基本距离度量表示专家。 通过应用至少一个迭代过程来输出复合距离度量，将所述邻域组合以利用所有基本距离度量的本地区分。
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公开(公告)号：US20140082024A1
公开(公告)日：2014-03-20
申请号：US12917469
申请日：2010-11-01
申请人： Nan Cao , Shixia Liu , Wei Hong Qian , Lei Shi , Jimeng Sun
发明人： Nan Cao , Shixia Liu , Wei Hong Qian , Lei Shi , Jimeng Sun
IPC分类号： G06F17/30
CPC分类号： G06F17/30601 , G06F17/30572
摘要： The invention provides a method and system for visualization of a data set, the method comprises: dividing the data set into a plurality of information layers based on different information dimensions; and visually processing the plurality of information layers based on different information dimensions, respectively, in order to present respective views of the plurality of information layers. In the present invention, by visualizing the data set through presenting different overviews of the data set from different information dimensions, respectively, the presentation of comprehensive information of the data set to a data set analyst is ensured while distortion of presented contents as well as visual clutter are prevented.
摘要翻译： 本发明提供了一种用于可视化数据集的方法和系统，该方法包括：基于不同的信息维度将数据集划分成多个信息层; 并且分别基于不同的信息维度可视地处理多个信息层，以便呈现多个信息层的各个视图。 在本发明中，通过分别通过从不同的信息维度呈现数据集的不同概况来可视化数据集，确保了数据集分析器的综合信息的呈现，同时呈现内容以及视觉 杂乱无章。
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