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41. 发明申请

US20120209620A1 DETECTING UNEXPECTED HEALTHCARE UTILIZATION BY CONSTRUCTING CLINICAL MODELS OF DOMINANT UTILIZATION GROUPS 审中-公开
标题翻译：通过构建主要利用组的临床模型来检测意外健康利用
公开(公告)号：US20120209620A1
公开(公告)日：2012-08-16
申请号：US13028753
申请日：2011-02-16
申请人： SHAHRAM EBADOLLAHI , Jianying Hu , Robert K. Sorrentino , Fei Wang
发明人： SHAHRAM EBADOLLAHI , Jianying Hu , Robert K. Sorrentino , Fei Wang
IPC分类号： G06Q50/00
CPC分类号： G06Q10/06393 , G06Q10/0637 , G06Q50/22
摘要： A system and method for identifying unexpected utilization profiles at a patient level includes determining one or more clusters that have a profile based on patient profiles and building a representative model for each cluster including demographic and clinical information. Using the model, demographic and clinical characteristics are determined which form expected utilization cluster. An expected utilization cluster for each patient, which is derived from the demographic features and the clinical characteristics, is compared against an actual utilization profile for that patient to determine whether the actual utilization profile is unexpected.
摘要翻译：用于识别患者级别的意外利用简档的系统和方法包括基于患者简档确定具有简档的一个或多个聚类，并为包括人口统计学和临床信息的每个聚类构建代表性模型。使用模型，确定形成预期利用集群的人口统计学和临床特征。将根据人口统计特征和临床特征导出的每个患者的预期利用集群与该患者的实际利用率曲线进行比较，以确定实际利用率曲线是否是意外的。

42. 发明授权

US08161028B2 System and method for adaptive categorization for use with dynamic taxonomies 有权
标题翻译：用于动态分类的自适应分类的系统和方法
公开(公告)号：US08161028B2
公开(公告)日：2012-04-17
申请号：US12315724
申请日：2008-12-05
申请人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
发明人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
IPC分类号： G06F17/30
CPC分类号： G06F17/3071
摘要： A system, method and computer program product provides a solution to a class of categorization problems using a semi-supervised clustering approach, the method employing performing a Soft Seeded k-means algorithm, which makes effective use of the side information provided by seeds with a wide range of confidence levels, even when they do not provide complete coverage of the pre-defined categories. The semi-supervised clustering is achieved through the introductions of a seed re-assignment penalty measure and model selection measure.
摘要翻译：系统，方法和计算机程序产品使用半监督聚类方法提供了对一类分类问题的解决方案，该方法采用执行软播种k均值算法，其有效利用由种子提供的边信息即使他们没有提供完整的预定义类别的覆盖范围，范围广泛的置信水平。半监督聚类是通过引入种子重新分配惩罚措施和模型选择措施来实现的。

43. 发明授权

US08126758B2 Method and apparatus for information boosting in related but disconnected databases 失效
标题翻译：在相关但断开连接的数据库中提升信息的方法和装置
公开(公告)号：US08126758B2
公开(公告)日：2012-02-28
申请号：US12014414
申请日：2008-01-15
申请人： Jianying Hu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante
发明人： Jianying Hu , Aleksandra Mojsilovic , Ana Radovanovic , Mark S. Squillante
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06Q10/063 , G06Q10/0631 , G06Q10/06311 , G06Q10/063118
摘要： Method and apparatus for information boosting in related but disconnected databases, in one aspect, may comprise identifying disconnected data sources comprising data that are related or dependent on one another, determining one or more relationships and dependencies among the disconnected data, and refining the data sources based on one or more relationships and dependencies.
摘要翻译：在一方面，在相关但断开连接的数据库中用于信息提升的方法和装置可以包括识别断开的数据源，其包括彼此相关或相互依赖的数据，确定断开连接的数据之间的一个或多个关系和依赖性，以及改进数据源基于一个或多个关系和依赖关系。

44. 发明申请

US20120041277A1 SYSTEM AND METHOD FOR PREDICTING NEAR-TERM PATIENT TRAJECTORIES 审中-公开
标题翻译：用于预测近期患者TRAJECTORIES的系统和方法
公开(公告)号：US20120041277A1
公开(公告)日：2012-02-16
申请号：US12855068
申请日：2010-08-12
申请人： SHAHRAM EBADOLLAHI , Jianying Hu , Robert K. Sorrentino , Daby M. Sow , Jimeng Sun
发明人： SHAHRAM EBADOLLAHI , Jianying Hu , Robert K. Sorrentino , Daby M. Sow , Jimeng Sun
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。

45. 发明申请

US20110119264A1 RANKING EXPERT RESPONSES AND FINDING EXPERTS BASED ON RANK 失效
标题翻译：排名专家反馈，并根据排名查找专家
公开(公告)号：US20110119264A1
公开(公告)日：2011-05-19
申请号：US12621285
申请日：2009-11-18
申请人： Jianying Hu , Jennifer Lai , Aleksandra Mojsilovic , Vikas Sindhwani , Kevin Singley
发明人： Jianying Hu , Jennifer Lai , Aleksandra Mojsilovic , Vikas Sindhwani , Kevin Singley
IPC分类号： G06F17/30 , G06F3/048
CPC分类号： G06Q10/00
摘要： In a computerized social network, expert and user chat sessions are stored and rated probabilistically. Later user requests for information are met with an expert ranking, based on a balance of similarities between expert profile and questions; similarity between expert profile and prior chat sessions, and dynamically updated chat session ratings. New sessions can be rated automatically with reference to keywords distilled from past sessions responsive to user ratings—and based on session length.
摘要翻译：在电脑社交网络中，专家和用户聊天会话被概括地存储和评估。基于专家简介和问题之间的相似性的平衡，后来的用户信息请求符合专家排名; 专家简介和以前的聊天会话之间的相似性，以及动态更新的聊天会话等级。参考根据用户评分从过去会话中提取的关键字，并根据会话长度自动评估新会话。

46. 发明申请

US20100145961A1 System and method for adaptive categorization for use with dynamic taxonomies 有权
标题翻译：用于动态分类的自适应分类的系统和方法
公开(公告)号：US20100145961A1
公开(公告)日：2010-06-10
申请号：US12315724
申请日：2008-12-05
申请人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
发明人： Jianying Hu , Aleksandra Mojsilovic , Moninder Singh
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/3071
摘要： A system, method and computer program product provides a solution to a class of categorization problems using a semi-supervised clustering approach, the method employing performing a Soft Seeded k-means algorithm, which makes effective use of the side information provided by seeds with a wide range of confidence levels, even when they do not provide complete coverage of the pre-defined categories. The semi-supervised clustering is achieved through the introductions of a seed re-assignment penalty measure and model selection measure.
摘要翻译：系统，方法和计算机程序产品使用半监督聚类方法提供了对一类分类问题的解决方案，该方法采用执行软播种k均值算法，其有效利用由种子提供的边信息即使他们没有提供完整的预定义类别的覆盖范围，范围广泛的置信水平。半监督聚类是通过引入种子重新分配惩罚措施和模型选择措施来实现的。

47. 发明申请

US20080219519A1 Method and Apparatus for Rolling Enrollment for Signature Verification 失效
标题翻译：用于签名验证的滚动注册的方法和装置
公开(公告)号：US20080219519A1
公开(公告)日：2008-09-11
申请号：US12125396
申请日：2008-05-22
申请人： Jianying Hu , Gregory Fraser Russel
发明人： Jianying Hu , Gregory Fraser Russel
IPC分类号： G06K9/00
CPC分类号： G06K9/00181 , G06K9/6255
摘要： Improved techniques are disclosed for adapting signature verification systems to natural signature variations. For example, a technique for adapting a signature verification system to variations in a signature of a user includes the following steps/operations. One or more signature samples are obtained from the user. The one or more obtained signature samples are submitted by the user as part of a regular authentication procedure associated with the signature verification system. A reference set of signature samples for the user is updated through selection of one or more signature samples from the obtained signature samples, such that the updated reference set is usable by the signature verification system for verifying subsequent signature samples attributed to the user. The selection of the one or more signature samples used to update the reference set is conditioned on a false rejection rate of the user when at least one obtained signature sample of the user is authenticated and on an identification check when no obtained signature sample is authenticated.
摘要翻译：公开了用于使签名验证系统适应自然签名变体的改进的技术。例如，用于使签名验证系统适应用户签名中的变化的技术包括以下步骤/操作。从用户获得一个或多个签名样本。一个或多个获得的签名样本由用户提交，作为与签名验证系统相关联的常规认证过程的一部分。通过从所获得的签名样本中选择一个或多个签名样本来更新用户的签名样本的参考集合，使得更新的参考集合可由签名验证系统用于验证归因于用户的后续签名样本。用于更新参考集合的一个或多个签名样本的选择在用户的至少一个所获得的签名样本被认证时以及当没有获得的签名样本被认证时在识别检查上的用户的错误拒绝率。

48. 发明申请

US20080167930A1 METHOD AND STRUCTURE FOR END-TO-END WORKFORCE MANAGEMENT 审中-公开
标题翻译：端到端员工管理的方法与结构
公开(公告)号：US20080167930A1
公开(公告)日：2008-07-10
申请号：US11621947
申请日：2007-01-10
申请人： Heng Cao , John Matthew Collins , Daniel Patrick Connors , Donna L. Gresh , Meng-Chen Hsieh , Jianying Hu , Mark A. Eaton , Ta-Hsin Li , Yingdong Lu , Aleksandra Majsilovic , Ana Radovanovic , Bonnie K. Ray , Mark S. Squillante
发明人： Heng Cao , John Matthew Collins , Daniel Patrick Connors , Donna L. Gresh , Meng-Chen Hsieh , Jianying Hu , Mark A. Eaton , Ta-Hsin Li , Yingdong Lu , Aleksandra Majsilovic , Ana Radovanovic , Bonnie K. Ray , Mark S. Squillante
IPC分类号： G05B19/418
CPC分类号： G06Q10/06 , G06Q10/063 , G06Q10/06311 , G06Q10/063112
摘要： A workforce management tool includes an input section that receives data from one or more data sources that together reflect data of substantially an entirety of a workforce of an organization. A plurality of service modules receive and process the data in accordance with requirements of different segments of the organization. The plurality of service modules are interconnected so that a user in a segment of the organization can selectively view any data of the workforce tool that is related to that segment.
摘要翻译：劳动力管理工具包括输入部分，其接收来自一个或多个数据源的数据，这些数据源一起反映了组织的基本上整个劳动力的数据。多个服务模块根据组织不同部分的要求接收和处理数据。多个服务模块互连，使得组织的一部分中的用户可以选择性地查看与该段相关的劳动力工具的任何数据。

49. 发明申请

US20070177773A1 Method and apparatus for rolling enrollment for signature verification 审中-公开
标题翻译：用于滚动登记的方法和装置进行签名验证
公开(公告)号：US20070177773A1
公开(公告)日：2007-08-02
申请号：US11343689
申请日：2006-01-31
申请人： Jianying Hu , Gregory Russell
发明人： Jianying Hu , Gregory Russell
IPC分类号： G06K9/00
CPC分类号： G06K9/00181 , G06K9/6255
摘要： Improved techniques are disclosed for adapting signature verification systems to natural signature variations. For example, a technique for adapting a signature verification system to variations in a signature of a user includes the following steps/operations. One or more signature samples are obtained from the user. The one or more obtained signature samples are submitted by the user as part of a regular authentication procedure associated with the signature verification system. A reference set of signature samples for the user is updated through selection of one or more signature samples from the obtained signature samples, such that the updated reference set is usable by the signature verification system for verifying subsequent signature samples attributed to the user. The selection of the one or more signature samples used to update the reference set is conditioned on a false rejection rate of the user when at least one obtained signature sample of the user is authenticated and on an identification check when no obtained signature sample is authenticated.
摘要翻译：公开了用于使签名验证系统适应自然签名变体的改进的技术。例如，用于使签名验证系统适应用户签名中的变化的技术包括以下步骤/操作。从用户获得一个或多个签名样本。一个或多个获得的签名样本由用户提交，作为与签名验证系统相关联的常规认证过程的一部分。通过从所获得的签名样本中选择一个或多个签名样本来更新用户的签名样本的参考集合，使得更新的参考集合可由签名验证系统用于验证归因于用户的后续签名样本。用于更新参考集合的一个或多个签名样本的选择在用户的至少一个所获得的签名样本被认证时以及当没有获得的签名样本被认证时在识别检查上的用户的错误拒绝率。

50. 发明申请

US20070094061A1 Method and system for predicting resource requirements for service engagements 审中-公开
标题翻译：用于预测服务业务资源需求的方法和系统
公开(公告)号：US20070094061A1
公开(公告)日：2007-04-26
申请号：US11247197
申请日：2005-10-12
申请人： Jianying Hu , Bonnie Ray
发明人： Jianying Hu , Bonnie Ray
IPC分类号： G06F9/46
CPC分类号： G06Q10/06 , G06Q10/06311 , G06Q30/0204
摘要： A method and system for predicting resource requirements of a current service engagement by modeling records of past service engagements to create and classify templates of service resource usage. This is done by clustering past engagements into groups having similar time series requirements for service resources. A service resource template for the current service engagement is generated from a classified template by using characteristics of the current service engagement to select a group of which the current service engagement is a likely member. The corresponding template is then customized to fit the characteristics of the current service engagement. The invention may be implemented using Hidden Markov Models. An aspect of the invention is use of dynamic time warping to quantify dissimilarity between engagement sequences prior to fitting Hidden Markov Models. Another aspect of the invention is removal of outliers from the clustered groups.
摘要翻译：一种用于通过建模和分类服务资源使用模板来记录以往服务参与来预测当前服务参与的资源需求的方法和系统。这是通过将过去的业务聚类成具有对服务资源具有相似时间序列要求的组来完成的。通过使用当前服务参与的特征来从分类的模板生成用于当前服务接合的服务资源模板，以选择当前服务参与是可能的成员的组。然后对相应的模板进行定制以适应当前服务参与的特征。本发明可以使用隐马尔可夫模型来实现。本发明的一个方面是在拟合隐马尔可夫模型之前使用动态时间扭曲来量化参与序列之间的不相似性。本发明的另一方面是从聚类组中去除异常值。

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