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公开(公告)号：US20100010316A1
公开(公告)日：2010-01-14
申请号：US12169339
申请日：2008-07-08
CPC分类号： G06T7/0012 , G06F19/00 , G06T2207/10016 , G06T2207/10072 , G06T2207/20104 , G06T2207/30016 , G16H50/70
摘要： A computer implemented method, apparatus, and computer program product for generating neuropsychiatric diagnoses. Quantitative information describing diagnostic characteristics associated with a patient is generated based on an analysis of a set of patient scans. The quantitative information comprises a set of indictors associated with regions of interest in the set of scans for the patient. The set of indicators of potential neuropsychiatric conditions is compared with a set of diagnostic signatures. A diagnostic signature comprises a set of indicators of a known neuropsychiatric condition. Matching signatures are identified. A matching signature is a diagnostic signature that corresponds to at least one indicator in the set of indicators to form a set of signatures. A diagnosis associated with each signature in the set of signatures is identified to form a set of potential diagnoses. The set of potential diagnoses is presented with links to relevant portion of the medical literature.
摘要翻译： 一种用于产生神经精神科诊断的计算机实现的方法，装置和计算机程序产品。 基于对一组患者扫描的分析来生成描述与患者相关联的诊断特征的定量信息。 定量信息包括与患者的扫描集合中的感兴趣区域相关联的一组指示符。 将一组潜在神经精神病学指标与一组诊断标记进行比较。 诊断签名包括已知神经精神病状的一组指标。 识别匹配的签名。 匹配的签名是对应于该组指示符中的至少一个指示符以形成一组签名的诊断签名。 识别与该组签名中的每个签名相关联的诊断以形成一组潜在诊断。 该组潜在诊断呈现与医学文献相关部分的链接。
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公开(公告)号：US20090240556A1
公开(公告)日：2009-09-24
申请号：US12050720
申请日：2008-03-18
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q30/0201
摘要： A computer implemented method, apparatus, and computer-usable program product for identifying marketing trends in unique cohort groups. Information describing a plurality of unique cohort groups associated with a public environment is retrieved. Each member of a cohort group in the plurality of unique cohort groups shares at least one common attribute. Sets of attributes associated with the plurality of unique cohort groups are identified. The sets of attributes are analyzed by a cohort trend detection engine to identify attribute trends associated with the sets of attributes and a frequency of occurrence of the attribute trends in the plurality of unique cohort groups to form current attribute trends. In response to a query to an inference engine requesting inferences associated with the marketing trends, inferences describing future occurrences of the attributes in the plurality of cohort groups are received to form a set of future attribute trends. A set of marketing trends are generated using the current attribute trends and the set of future attribute trends. The set of marketing trends describes probable future marketing trends in the given environment.
摘要翻译： 计算机实现的方法，装置和计算机可用的程序产品，用于识别独特队列组中的营销趋势。 检索描述与公共环境相关联的多个唯一队列组的信息。 多个独特的队列组中的队列组的每个成员共享至少一个公共属性。 识别与多个唯一队列组相关联的属性集合。 通过队列趋势检测引擎分析属性集合以识别与属性集合相关联的属性趋势和多个独特队列组中的属性趋势的发生频率以形成当前属性趋势。 响应于对推论引擎的查询请求与营销趋势相关联的推论，接收描述多个群组中的属性的未来事件的推论以形成一组未来属性趋势。 使用当前属性趋势和未来属性趋势集合生成一组营销趋势。 这套营销趋势描述了给定环境中未来的市场趋势。
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93.发明授权公开(公告)号：US07584160B2
公开(公告)日：2009-09-01
申请号：US11553526
申请日：2006-10-27
IPC分类号： G06F7/00
CPC分类号： G06Q10/06
摘要： A computer-implemented method for creating optimized sub-projects for a project. Boundary conditions, input regarding output objects, and input regarding “as-is” data sources are received. The output objects are decomposed into data objects and logical processes used to create the output objects. Value clusters are determined. The data objects are organized into “to be” data structures and the “to be” which are mapped to the “as-is” data sources. Additional processes are determined for moving data from a source to a target. An affinity matrix is created based on the value clusters. Finally, an optimization operation is executed with an optimization engine to produce the optimized sub-projects. The optimization engine takes as inputs the above information.
摘要翻译： 用于为项目创建优化的子项目的计算机实现的方法。 接收边界条件，关于输出对象的输入以及关于“原样”数据源的输入。 输出对象被分解为用于创建输出对象的数据对象和逻辑进程。 确定值集群。 数据对象被组织为被映射到“原样”数据源的“待”数据结构和“待”。 确定将数据从源移动到目标的附加过程。 基于值集合创建亲和度矩阵。 最后，使用优化引擎执行优化操作，以生成优化的子项目。 优化引擎将上述信息作为输入。
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公开(公告)号：US20090177605A1
公开(公告)日：2009-07-09
申请号：US11971239
申请日：2008-01-09
IPC分类号： G06N5/04
CPC分类号： G06N5/04
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 an 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队列推论。 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。
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公开(公告)号：US20080294692A1
公开(公告)日：2008-11-27
申请号：US12135972
申请日：2008-06-09
IPC分类号： G06F17/30
摘要： Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event comprises third data representing a result of a mathematical computation defined by S(p1)==>F(p2), wherein S comprises input facts with probability p1, wherein the input facts comprise the first cohort and the second cohort, and wherein F comprises an inferred event with probability p2. The term “event” means a particular set of data that represents, encodes, or records at least one of a thing or happening. Each of the first data, the second data, the first cohort, the second cohort, the synthetic event, and subcomponents thereof all comprise different events. The synthetic event is stored.
摘要翻译： 根据大量数据生成合成事件。 接收第一和第二数据。 第一个数据被组织成第一个队列。 第二个数据被组织成第二个队列。 处理第一队列和第二队列以产生合成事件。 合成事件包括表示由S（p1）==> F（p2）定义的数学计算结果的第三数据，其中S包括具有概率p1的输入事实，其中输入事实包括第一队列和第二队列，以及 其中F包括概率p2的推断事件。 术语“事件”是指表示，编码或记录事物或发生中的至少一个的特定数据集。 第一数据，第二数据，第一队列，第二队列，合成事件及其子部件中的每一个都包括不同的事件。 合成事件被存储。
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96.发明申请公开(公告)号：US20080208814A1
公开(公告)日：2008-08-28
申请号：US11741538
申请日：2007-04-27
CPC分类号： G06F17/30533 , G06N7/005
摘要： A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference related to a chaotic event. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. The probability of the first inference relates to a cause of the chaotic event, an affect of the chaotic event, an effect of the chaotic event, whether an event is related to the chaotic event, a whether an object is related to the chaotic event, and combinations thereof.
摘要翻译： 一种计算机实现的方法，装置和计算机可用程序代码，用于推断与混沌事件相关的第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。 第一次推论的概率涉及到混沌事件的原因，混沌事件的影响，混沌事件的影响，事件是否与混沌事件有关，物体是否与混沌事件有关， 及其组合。
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97.发明申请公开(公告)号：US20080114779A1
公开(公告)日：2008-05-15
申请号：US11553526
申请日：2006-10-27
IPC分类号： G06F7/00
CPC分类号： G06Q10/06
摘要： A computer-implemented method for creating optimized sub-projects for a project. Boundary conditions, input regarding output objects, and input regarding “as-is” data sources are received. The output objects are decomposed into data objects and logical processes used to create the output objects. Value clusters are determined. The data objects are organized into “to be” data structures and the “to be” which are mapped to the “as-is” data sources. Additional processes are determined for moving data from a source to a target. An affinity matrix is created based on the value clusters. Finally, an optimization operation is executed with an optimization engine to produce the optimized sub-projects. The optimization engine takes as inputs the above information.
摘要翻译： 用于为项目创建优化的子项目的计算机实现的方法。 接收边界条件，关于输出对象的输入以及关于“原样”数据源的输入。 输出对象被分解为用于创建输出对象的数据对象和逻辑进程。 确定值集群。 数据对象被组织为被映射到“原样”数据源的“待”数据结构和“待”。 确定将数据从源移动到目标的附加过程。 基于值集合创建亲和度矩阵。 最后，使用优化引擎执行优化操作，以生成优化的子项目。 优化引擎将上述信息作为输入。
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98.发明申请公开(公告)号：US20080082356A1
公开(公告)日：2008-04-03
申请号：US11542397
申请日：2006-10-03
摘要： A computer implemented method, apparatus, and computer usable program code for automatically selecting an optimal control cohort. Attributes are selected based on patient data. Treatment cohort records are clustered to form clustered treatment cohorts. Control cohort records are scored to form potential control cohort members. The optimal control cohort is selected by minimizing differences between the potential control cohort members and the clustered treatment cohorts.
摘要翻译： 一种用于自动选择最优控制队列的计算机实现的方法，装置和计算机可用程序代码。 属性是根据患者数据选择的。 治疗队列记录聚集形成聚类治疗队列。 控制队列记录得分，形成潜在的控制队列成员。 通过最小化潜在对照队列成员与群集治疗队列之间的差异来选择最优控制队列。
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99.发明授权公开(公告)号：US09443211B2
公开(公告)日：2016-09-13
申请号：US12903302
申请日：2010-10-13
CPC分类号： G06Q10/06311 , G06F17/30312
摘要： A computer implemented method, system, and/or computer program product define a paradigmatic member of a known task directed community. Non-linear attributes of each member of the known task directed community having a known agenda are identified. Each of the non-linear attributes is individually unrelated to the known agenda. Common non-linear attributes shared by multiple members of the known task directed community are identified for use in defining the paradigmatic member of the known task directed community.
摘要翻译： 计算机实现的方法，系统和/或计算机程序产品定义已知任务定向社区的范例成员。 识别具有已知议程的已知任务定向社区的每个成员的非线性属性。 每个非线性属性与已知议程单独无关。 识别已知任务定向社区的多个成员共享的公共非线性属性，以用于定义已知任务定向社区的范例成员。
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100.发明授权公开(公告)号：US09390233B2
公开(公告)日：2016-07-12
申请号：US13452331
申请日：2012-04-20
CPC分类号： G06F19/345 , A61B5/055 , A61B6/037 , A61B6/501 , G06F19/00 , G06F19/321 , G06F19/324 , G06T7/0012 , G06T2207/20104 , G06T2207/30016 , G16H50/20 , G16H50/70
摘要： A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted.
摘要翻译： 一种用于分析神经图像的计算机实现的方法，装置和计算机程序产品。 将一组患者的脑扫描与一组基线控制扫描进行比较，以自动识别该组患者扫描中的感兴趣区域。 感兴趣区域是显示潜在异常的指示的扫描区域。 一组电子医学文献来源搜索与该组患者扫描相关的感兴趣区域的医学文献。 相关的医学文献与将病人扫描的病人扫描中的感兴趣区域描述在该组病人扫描中的感兴趣区域的医学文献相关。 产生结果。 输出结果包括感兴趣区域和与相关医学文献的相关部分的一组链接。
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