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1. 发明申请

US20100153133A1 Generating Never-Event Cohorts from Patient Care Data 审中-公开
标题翻译：从患者护理数据生成不事件队列
公开(公告)号：US20100153133A1
公开(公告)日：2010-06-17
申请号：US12335857
申请日：2008-12-16
申请人： Robert Lee Angell , Robert R. Friedlander , Richard Hennessy , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , Richard Hennessy , James R. Kraemer
IPC分类号： G06Q50/00 , G06N5/04 , G06N5/02
CPC分类号： G06Q50/24 , G16H50/70
摘要： The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating never-event cohorts. In response to receiving patient care data derived from a population of patients, the patient care data is processed to form digital patient care data. The digital patient care data includes metadata describing a set of patient care patterns associated with one or more patients in the population of patients. The digital patient care data is analyzed using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The cohort criteria specifies at least one never-event attribute from the set of never-event attributes for each cohort in a set of never-event cohorts. Thereafter, a set of never-event cohorts is generated. The set of never-event cohorts is formed from members selected from the population of patients, and each member of a cohort in the set of never-event cohorts has the at least one never-event attribute in common.
摘要翻译：本文描述的说明性实施例提供了一种计算机实现的方法，装置和用于产生永不事件队列的计算机程序产品。响应于接收从患者群体导出的患者护理数据，处理患者护理数据以形成数字患者护理数据。数字患者护理数据包括描述与患者群体中的一个或多个患者相关联的一组患者护理模式的元数据。使用队列标准分析数字患者护理数据，以从该组患者护理模式中识别一组永不事件属性。队列标准为一组永不事件队列中的每个队列指定从永远事件属性组中至少一个永久事件属性。此后，生成一组未事件队列。从事事件队列的集合是从患者人群中选出的成员组成的，并且该组永久事件组中的每个成员具有至少一个共同的事件属性。

2. 发明授权

US08539360B2 Management of data on related websites 有权
标题翻译：管理相关网站上的数据
公开(公告)号：US08539360B2
公开(公告)日：2013-09-17
申请号：US12423554
申请日：2009-04-14
申请人： Robert Lee Angell , Robert R. Friedlander , Richard Hennessy , James R. Kraemer , William Philip Shaouy
发明人： Robert Lee Angell , Robert R. Friedlander , Richard Hennessy , James R. Kraemer , William Philip Shaouy
IPC分类号： G06F3/00 , G06Q99/00
CPC分类号： G06F3/048 , G06F17/3089
摘要： A computer-implemented method, system and computer program product of managing and sharing entries into a webpage are presented. The computer-implemented method receives an input to an input box located in a first webpage on a first network. This input is analyzed to determine its subject matter, and is then migrated into an appropriate subject box on the webpage. In one embodiment, the input is then shared with another webpage, for the same user, which is on a second network.
摘要翻译：介绍了一种计算机实现的方法，系统和计算机程序产品，用于管理和共享网页中的条目。计算机实现的方法接收到位于第一网络上的第一网页中的输入框的输入。分析此输入以确定其主题，然后将其迁移到网页上的适当主题框中。在一个实施例中，输入然后与位于第二网络上的相同用户的另一网页共享。

3. 发明授权

US08335698B2 Optimizing cluster based cohorts to support advanced analytics 有权
标题翻译：优化基于群集的队列以支持高级分析
公开(公告)号：US08335698B2
公开(公告)日：2012-12-18
申请号：US12054084
申请日：2008-03-24
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06Q50/00 , G06Q10/00
CPC分类号： G06Q10/10
摘要： A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group.
摘要翻译：提供计算机实现的方法，装置和计算机程序产品，用于选择治疗研究队列的对象。确定用于优化治疗队列组和与治疗研究相关联的对照队列组的受试者选择的一组选定维度。与可用对象池中的主题相关联的属性数据在原子级别聚类以形成群集队列数据。使用群集队列数据和所选维度的集合来选择来自可用对象池的一组优化对象。优化对象组中的受试者在所选尺寸集合中进行了优化。优化对象组中的每个受试者被分配到治疗队列组或对照队列组。

4. 发明授权

US07953686B2 Sensor and actuator based validation of expected cohort behavior 有权
标题翻译：基于传感器和执行器的预期队列行为验证
公开(公告)号：US07953686B2
公开(公告)日：2011-05-31
申请号：US12049725
申请日：2008-03-17
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06Q10/04 , G06Q30/02
摘要： A computer implemented method, apparatus, and computer-usable program product for validating expected cohort behavior. In one embodiment, sensory data gathered by a set of multimodal sensor devices is processed to form a set of actual cohort behavior data. The sensory data comprises information associated with a cohort group. Each member of the cohort group shares at least one common attribute. The set of actual cohort behavior data is compared to a set of predicted cohort behavior models. The set of actual cohort behavior data comprises information describing actual behavior by members of the cohort group. The set of predicted cohort behavior models comprises information describing an expected behavior of members of the cohort group. A comparison result is generated. The comparison result indicates an accuracy of the set of predicted cohort behavior models.
摘要翻译：用于验证预期队列行为的计算机实现的方法，装置和计算机可用的程序产品。在一个实施例中，处理由一组多模式传感器装置收集的感觉数据以形成一组实际队列行为数据。感觉数据包括与队列组相关联的信息。队列组的每个成员至少共享一个共同属性。将一组实际队列行为数据与一组预测队列行为模型进行比较。该组实际队列行为数据包括描述队列组成员的实际行为的信息。一组预测的队列行为模型包括描述队列组成员的预期行为的信息。产生比较结果。比较结果表明预测队列行为模型集合的准确性。

5. 发明授权

US07870085B2 Risk assessment between aircrafts 有权
标题翻译：飞机之间的风险评估
公开(公告)号：US07870085B2
公开(公告)日：2011-01-11
申请号：US11971262
申请日：2008-01-09
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06N5/00
CPC分类号： G06N5/04 , G06Q30/02
摘要： A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a first aircraft. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score.
摘要翻译：风险评估方法和制度。该方法包括由推理机接收与位于第一飞行器内的第一队列相关联的第一传感器队列数据。推理机接收与第一队列相关联的第一组技术推论。推理引擎基于第一组技术推论和第一传感器队列数据生成第一风险群组推论。所述推理机接收包括与所述第一队列相关联的第一多个推断的第一推断数据。推理引擎产生包括与第一队列相关联的第二多个推断的第二推理数据。第二推理数据基于第一推理数据和第一风险队列推论。推理引擎为第一个队列生成第一个相关联的风险等级得分。计算系统存储第二推理数据和第一相关风险等级得分。

6. 发明申请

US20100153470A1 Identifying and Generating Biometric Cohorts Based on Biometric Sensor Input 有权
标题翻译：基于生物特征传感器输入识别和生成生物特征队列
公开(公告)号：US20100153470A1
公开(公告)日：2010-06-17
申请号：US12333316
申请日：2008-12-12
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06F17/00
CPC分类号： G06K9/6218 , G06F21/32 , G06K9/00885 , G06N5/04 , G06N99/005
摘要： The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating biometric cohorts. In one embodiment, biometric data is received which identifies a set of biometric patterns. The biometric data is received from a set of biometric sensors. The biometric data is processed to form digital biometric data that identifies attributes of the biometric data. In addition, the digital biometric data includes metadata describing the attributes of the biometric data. Thereafter, a set of biometric cohorts is generated using the digital biometric data. Each member of the set of biometric cohorts shares at least one biometric attribute in common.
摘要翻译：本文描述的说明性实施例提供了一种计算机实现的方法，装置和用于生成生物特征组的计算机程序产品。在一个实施例中，接收标识一组生物特征图案的生物特征数据。从一组生物特征传感器接收生物特征数据。处理生物特征数据以形成识别生物特征数据的属性的数字生物特征数据。此外，数字生物特征数据包括描述生物特征数据的属性的元数据。此后，使用数字生物特征数据生成一组生物特征队列。该组生物统计组中的每个成员共享至少一个生物特征属性。

7. 发明申请

US20100153180A1 Generating Receptivity Cohorts 审中-公开
标题翻译：生成接受者队列
公开(公告)号：US20100153180A1
公开(公告)日：2010-06-17
申请号：US12336488
申请日：2008-12-16
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06Q99/00 , G06N7/02
CPC分类号： G06N5/02 , G06Q10/063 , G06Q10/06375 , G06Q30/02 , G16H10/20
摘要： A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. Digital sensor data associated with a set of individuals is retrieved in response to receiving an identification of a proposed future change in a current set of circumstances associated with the set of individuals. The digital sensor data comprises events metadata describing a set of events associated with the set of individuals. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the set of individuals. An analysis server selects a set of receptivity analysis models based on the proposed future event and the set of events. Each analysis model in the set of receptivity analysis models analyzes the set of events to identify conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change. The events metadata describing the set of events is analyzed in the selected set of receptivity analysis models to form a receptivity cohort. The receptivity cohort comprises a set of conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change.
摘要翻译：一种用于产生接受性队列的计算机实现的方法，装置和计算机程序产品。与一组个人相关联的数字传感器数据被检索以响应于在与该组个体相关联的当前情况集合中接收到建议的未来变化的标识。数字传感器数据包括描述与该组个体相关联的一组事件的事件元数据。这组事件至少包括身体语言，面部表情，发声和个人群体的社交互动。分析服务器根据所提出的未来事件和一组事件来选择一组接受度分析模型。一组接受度分析模型中的每个分析模型分析了一组事件，以确定指示该组个体中每个个体对拟议未来变化的接受性的行为属性。在所选择的一组接受度分析模型中分析描述事件集的事件元数据以形成接受性队列。接受队列包括一组行为属性，指示该组个体中每个人对所提出的未来变化的接受性。

8. 发明申请

US20100153147A1 Generating Specific Risk Cohorts 审中-公开
标题翻译：生成具体的风险队列
公开(公告)号：US20100153147A1
公开(公告)日：2010-06-17
申请号：US12333321
申请日：2008-12-12
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06Q10/00
CPC分类号： G06Q10/04 , G06Q10/0635
摘要： A computer implemented method, apparatus, and computer program product for generating risk scores for specific risk cohorts. Digital sensor data associated with a specific risk cohort is received from a set of multimodal sensors. The specific risk cohort includes a set of identified cohort members. The digital sensor data includes metadata describing attributes associated with at least one cohort member in the set of identified cohort members. Description data for each cohort member in the set of identified cohort members is retrieved to form a set of cohort description data. The description data for each cohort member comprises data describing a previous history of the cohort member or a current status of the cohort member. The cohort member is a person, animal, plant, thing, or location. A specific risk score is generated for the specific risk cohort based on selected risk factors, the attributes associated with the at least one identified member, and the set of cohort description data. A response action is initiated in response to a determination that the specific risk score exceeds a risk threshold.
摘要翻译：一种计算机实现的方法，装置和计算机程序产品，用于产生特定风险队列的风险评分。从一组多模式传感器接收与特定风险队列相关联的数字传感器数据。具体的风险队列包括一组确定的队列成员。数字传感器数据包括描述与所识别的队列成员集合中的至少一个队列成员相关联的属性的元数据。检索识别队列成员集中的每个队列成员的描述数据以形成一组队列描述数据。每个队列成员的描述数据包括描述队列成员的先前历史或队列成员的当前状态的数据。队列成员是一个人，动物，植物，事物或位置。基于所选择的风险因素，与至少一个识别的成员相关联的属性以及队列描述数据集合，针对特定风险队列生成特定风险评分。响应于确定特定风险评分超过风险阈值来启动响应动作。

9. 发明申请

US20100148970A1 Generating Deportment and Comportment Cohorts 有权
标题翻译：生成驱逐出境人员
公开(公告)号：US20100148970A1
公开(公告)日：2010-06-17
申请号：US12336471
申请日：2008-12-16
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G08B23/00
CPC分类号： G06N5/04 , G06F17/30595 , G06F19/00 , G06Q10/10 , G16H10/20
摘要： A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events. The event metadata and the description data is analyzed in the set of conduct analysis models to form a deportment and comportment cohort. The deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.
摘要翻译：一种计算机实现的方法，装置和计算机程序产品，用于产生驱逐和排斥队列。接收与个人相关联的数字传感器数据。数字传感器数据包括描述与个体相关联的一组事件的事件元数据。这组事件至少包括身体语言，面部表情，发声和个人的社会交往中的一种。响应于确定个人的描述数据可用，检索描述数据。描述数据包括个人的识别信息，过去历史信息和当前状态信息中的至少一个。选择基于事件元数据和可用的描述数据的一组行为分析模型。该组行为分析模型处理描述与个人相关联的事件集合的事件元数据以识别和解释事件集合。在一组行为分析模型中分析事件元数据和描述数据，形成驱逐出境和排斥队列。驱逐和排斥队列包括识别个人的态度和方式的属性。

10. 发明申请

US20090287503A1 ANALYSIS OF INDIVIDUAL AND GROUP HEALTHCARE DATA IN ORDER TO PROVIDE REAL TIME HEALTHCARE RECOMMENDATIONS 审中-公开
标题翻译：个人和集体健康数据分析订单提供实时卫生保健建议
公开(公告)号：US20090287503A1
公开(公告)日：2009-11-19
申请号：US12121947
申请日：2008-05-16
申请人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
发明人： Robert Lee Angell , Robert R. Friedlander , James R. Kraemer
IPC分类号： G06F19/00
CPC分类号： G06Q50/24 , G16H10/20
摘要： A method for managing data. A datum regarding a first patient is received. A first set of relationships is established. The first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in at least one database. A plurality of cohorts to which the first patient belongs is established based on the first set of relationships. Ones of the plurality of cohorts contain corresponding first data regarding the first patient and corresponding second data regarding a corresponding set of additional information. The corresponding set of additional information is related to the corresponding first data. The plurality of cohorts is clustered according to at least one parameter, wherein a cluster of cohorts is formed. A determination is made of which of at least two cohorts in the cluster are closest to each other. The at least two cohorts can be stored.
摘要翻译：一种管理数据的方法。接收关于第一个病人的数据。建立了第一组关系。第一组关系包括基准与至少一个数据库中存在的至少一个附加数据的至少一个关系。基于第一组关系建立第一患者所属的多个队列。多个队列中的一个包含关于第一患者的对应的第一数据和关于一组相应的附加信息的对应的第二数据。对应的一组附加信息与相应的第一数据相关。根据至少一个参数聚集多个队列，其中形成队列群集。确定群集中的至少两个群组中的哪一个最接近彼此。可以存储至少两个队列。

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