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公开(公告)号：US08219554B2
公开(公告)日：2012-07-10
申请号：US12335731
申请日：2008-12-16
IPC分类号： G06F17/00
CPC分类号： G06F17/30595 , G06F17/30864 , G06Q10/10
摘要： A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. A receptivity cohort is identified. The receptivity cohort includes a set of members and conduct attributes for the set of members. Each conduct attribute in the set of conduct attributes describes at least one of a facial expression, vocalization, body language, and social interactions of a member in the set of members. Each conduct attribute is an indicator of receptiveness to a proposed future change in a set of circumstances associated with the set of members. Events metadata is received. The events metadata describes the set of circumstances associated with the set of members. The set of conduct attributes and the events metadata is analyzed to generate a receptivity score for the receptivity cohort. The receptivity score indicates a level of receptiveness of the set of members to the proposed future change in the set of circumstances. The set of members of the receptivity cohort are identified as receptive to the proposed future change based on the result of a comparison of the receptivity score to a threshold score.
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。 识别出接受性队列。 接受队列包括一组成员，并为该组成员提供属性。 该组行为属性中的每个行为属性描述了该组成员中的成员的面部表情，发声，肢体语言和社交交互中的至少一个。 每个行为属性是与一组成员相关的一系列情况下对拟议未来变化的接受度的指标。 收到事件元数据。 事件元数据描述与该组成员相关联的一系列情境。 分析一组行为属性和事件元数据，以生成接受队列的接受评分。 受理分数表示该组成员对一组情况下拟议未来变化的接受程度。 基于接受度分数与阈值分数比较的结果，接受性队列的一组成员被识别为接受所提出的未来变化。
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公开(公告)号：US07885908B2
公开(公告)日：2011-02-08
申请号：US11971239
申请日：2008-01-09
IPC分类号： G06N5/00
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。
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公开(公告)号：US07873586B2
公开(公告)日：2011-01-18
申请号：US11970824
申请日：2008-01-08
IPC分类号： G06N5/00
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 a gate area of an airport. 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机场的门区域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。
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公开(公告)号：US20100153353A1
公开(公告)日：2010-06-17
申请号：US12333323
申请日：2008-12-12
IPC分类号： G06F17/30
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。
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45.发明申请AUTOMATICALLY DEVELOPING NEUROPSYCHIATRIC TREATMENT PLANS BASED ON NEUROIMAGE DATA 失效根据神经元数据自动开发神经病理治疗计划公开(公告)号：US20100010827A1
公开(公告)日：2010-01-14
申请号：US12169402
申请日：2008-07-08
CPC分类号： G06Q50/24 , G06F19/00 , G06F19/325 , G06F19/3481 , G06Q50/22 , G16H10/60 , G16H50/20
摘要： A computer implemented method, apparatus, and computer program product for developing neuropsychiatric treatment plans. A treatment plan generator receives a set of diagnoses for a patient. The treatment plan generator automatically analyzes medical information in a set of electronic medical literature sources for potential therapies associated with treatment of each identified condition in the set of diagnoses. The treatment plan generator identifies the potential therapies associated with the treatment of each diagnosed condition. The treatment plan generator selects a set of recommended therapies from the potential therapies based on portions of the medical literature describing each therapy in the potential therapies and a medical history for the patient. The treatment plan generator generates a treatment plan. The treatment plan comprises the set of recommended therapies to treat each diagnosed condition in the set of diagnoses.
摘要翻译： 用于开发神经精神治疗计划的计算机实现的方法，装置和计算机程序产品。 治疗计划生成器接收患者的一组诊断。 治疗计划生成器自动分析一组电子医学文献来源中的医疗信息，用于与该组诊断中的每个识别的病症的治疗相关联的潜在疗法。 治疗计划生成器识别与每个诊断的病症的治疗相关的潜在疗法。 治疗计划生成者根据描述潜在疗法中的每种疗法的医学文献的部分以及患者的病史来选择潜在疗法中的一组推荐疗法。 治疗计划生成器产生治疗计划。 治疗计划包括一套推荐的治疗方法，用于治疗诊断中的每一个诊断病症。
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公开(公告)号：US20100010363A1
公开(公告)日：2010-01-14
申请号：US12169350
申请日：2008-07-08
IPC分类号： A61B5/0476 , G06N5/00
CPC分类号： G06F19/321 , A61B5/055 , A61B5/411 , A61B5/417 , A61B6/037 , A61B6/501 , A61B6/56 , A61B6/563 , A61B6/566 , G06F17/30011 , G06F17/30864 , G06F19/00 , G06F19/324 , G06F19/3481 , G06K9/46 , G06K9/6215 , G06K2009/4666 , G06T7/0012 , G06T2207/10088 , G06T2207/10104 , G06T2207/30016 , G16H50/20 , G16H50/70
摘要： A computer implemented method, apparatus, and computer program product of determining mechanisms of action for therapies. A first set of brain scans for each subject in a plurality of subjects generated at a first time period and a second set of brain scans for each subject generated at a second time period are received. Each subject is diagnosed with a given condition and received a given therapy. A set of changes in the set of brain scans is identified for the each subject based on a comparison of a first set of regions of interest in the first set of scans for each subject with a second set of regions of interest in the second set of scans for each subject. A set of typical changes attributable to the given therapy is identified. A mechanism of action for the given therapy is generated based on the set of typical changes.
摘要翻译： 一种计算机实现的方法，装置和计算机程序产品，用于确定治疗的作用机制。 接收在第一时间段生成的多个对象中的每个受试者的第一组脑扫描和在第二时间段产生的每个对象的第二组脑扫描。 每个受试者被诊断为给定的病症并接受给定的治疗。 基于对于每个受试者的第一组扫描中的第一组感兴趣区域与第二组感兴趣区域中的第二组感兴趣的区域的比较，针对每个受试者识别一组脑扫描集合中的变化 扫描每个主题。 确定归因于给定治疗的一组典型变化。 基于典型变化的集合产生给定治疗的作用机制。
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公开(公告)号：US20090316968A1
公开(公告)日：2009-12-24
申请号：US12141316
申请日：2008-06-18
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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公开(公告)号：US20090240695A1
公开(公告)日：2009-09-24
申请号：US12050537
申请日：2008-03-18
CPC分类号： G06Q10/10 , G06F16/70 , G06F16/907
摘要： According to one embodiment of the present invention, a computer implemented method, apparatus, and computer-usable program product for generating unique cohort groups using multimodal sensory device. Multimodal sensory data is received from a set of multimodal sensors in a public environment. The set of multimodal sensors are associated with a network. The multimodal sensory data is received from the set of multimodal sensors over the network. The multimodal sensory data is processed to generate a plurality of attributes to form cohort attributes. A plurality of unique cohort groups is generated using the cohort attributes and the multimodal sensory data. Each member of the cohort group shares at least one common attribute.
摘要翻译： 根据本发明的一个实施例，一种计算机实现的方法，装置和计算机可用的程序产品，用于使用多模式感觉装置产生独特的队列组。 在公共环境中从一组多模式传感器接收多模态感觉数据。 该组多模式传感器与网络相关联。 通过网络从多组传感器组接收多模式感觉数据。 处理多模态感觉数据以生成多个属性以形成队列属性。 使用队列属性和多模式感觉数据生成多个独特的队列组。 队列组的每个成员至少共享一个共同属性。
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公开(公告)号：US20090240513A1
公开(公告)日：2009-09-24
申请号：US12054084
申请日：2008-03-24
IPC分类号： G06Q99/00
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。
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公开(公告)号：US20090234810A1
公开(公告)日：2009-09-17
申请号：US12049725
申请日：2008-03-17
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。
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