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公开(公告)号：US10831864B2
公开(公告)日：2020-11-10
申请号：US14274785
申请日：2014-05-12
Applicant: International Business Machines Corporation
Inventor： Igor Kostirev , Alex Melament , Yardena Peres , Edward Vitkin , Bazarbek Uatay
IPC: G06F3/048 , G06F16/00 , G16H15/00 , G06F19/00 , G06F3/0484 , G06F3/0481 , G16H70/20
Abstract: A method comprising using at least one hardware processor for: receiving multiple data clusters, each comprising one or more path variations of a process performed with respect to multiple subjects, wherein each of the path variations comprises multiple stages of the process, and wherein at least some of the stages, each comprises one or more parameters; constructing a visualization template representative of the path variations, wherein the visualization template comprises multiple nodes, each node having one or more graphical attributes, wherein each node representative of a corresponding stage; assigning each of the graphical attributes of each of the nodes to a corresponding parameter of the corresponding stage; and visualizing one or more differences between the data clusters by generating at least one instance of the visualization template, the instance being representative of and corresponding to at least two of the data clusters, wherein each of the at least one instance is representative of and corresponding to at least one of the data clusters, and wherein in the at least one instance, each of the assigned one or more graphical attributes of each node represent a value of the corresponding parameter, the value relating to the corresponding stage of the at least one corresponding data cluster.
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公开(公告)号：US20210042587A1
公开(公告)日：2021-02-11
申请号：US16534582
申请日：2019-08-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Edward Vitkin , Igor Kostirev-Kronos , Alex Melament , Yardena Lia Peres
Abstract: Time-series data uncertainty reduction can include generating an initial accumulated signal based on an event classifier prediction score. The event classifier prediction score can be generated by an event predicator based on time-series data and can correspond to a probability that a target event occurs. Signal leakage can be imposed on the initial accumulated signal. Additionally, an alert can be generated in response to determining that the initial accumulated signal is greater than an alert threshold.
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公开(公告)号：US20150324090A1
公开(公告)日：2015-11-12
申请号：US14274785
申请日：2014-05-12
Applicant: International Business Machines Corporation
Inventor： Igor Kostirev , Alex Melament , Yardena Peres , Edward Vitkin , Bazarbek Uatay
IPC: G06F3/0484 , G06F19/00 , G06F3/0481
CPC classification number: G06F19/325 , G06F3/04817 , G06F3/04842 , G06F16/00 , G16H15/00
Abstract: A method comprising using at least one hardware processor for: receiving multiple data clusters, each comprising one or more path variations of a process performed with respect to multiple subjects, wherein each of the path variations comprises multiple stages of the process, and wherein at least some of the stages, each comprises one or more parameters; constructing a visualization template representative of the path variations, wherein the visualization template comprises multiple nodes, each node having one or more graphical attributes, wherein each node representative of a corresponding stage; assigning each of the graphical attributes of each of the nodes to a corresponding parameter of the corresponding stage; and visualizing one or more differences between the data clusters by generating at least one instance of the visualization template, the instance being representative of and corresponding to at least two of the data clusters, wherein each of the at least one instance is representative of and corresponding to at least one of the data clusters, and wherein in the at least one instance, each of the assigned one or more graphical attributes of each node represent a value of the corresponding parameter, the value relating to the corresponding stage of the at least one corresponding data cluster.
Abstract translation: 一种方法，包括使用至少一个硬件处理器：接收多个数据簇，每个数据簇包括关于多个对象执行的过程的一个或多个路径变化，其中每个路径变化包括该过程的多个阶段，并且其中至少 一些阶段各自包括一个或多个参数; 构建表示所述路径变化的可视化模板，其中所述可视化模板包括多个节点，每个节点具有一个或多个图形属性，其中每个节点表示对应的阶段; 将每个节点的每个图形属性分配给相应级的相应参数; 以及通过生成所述可视化模板的至少一个实例来可视化所述数据集群之间的一个或多个差异，所述实例代表并对应于所述数据集群中的至少两个，其中所述至少一个实例中的每一个代表和相应的 至少一个数据集群，并且其中在所述至少一个实例中，每个节点的所分配的一个或多个图形属性中的每一个表示相应参数的值，与所述至少一个的相应阶段相关的值 相应的数据集群。
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公开(公告)号：US20190279752A1
公开(公告)日：2019-09-12
申请号：US15917906
申请日：2018-03-12
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Edward Vitkin , Alex Melament , Yardena L. Peres , Yevgenia Tsimerman , Igor Kostirev-Kronos , Pamela A. Nesbitt , Gigi Yuen-Reed , Navot Naor
Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating medical treatment adherence improvement protocols associated with a target patient. A hierarchical map is received. A query is received to generate an improvement protocol. A patient adherence profile associated with the target patient is generated based on target patient data and corresponding one or more dimensions. An influence value is applied to each corresponding one or more dimensions based on the generated patient adherence profile. A set of dimensions is identified of the corresponding one or more dimensions associated with an influence value crossing a threshold. One or more goals are identifying associated with the target patient. An adherence improvement protocol is generated based on identified one or more goals. User input is received, in response to communicating the generated adherence improvement protocol. The adherence profile, identified goals, and adherence improvement protocol are modified.
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Patent Agency Ranking
5.发明申请公开(公告)号：US20160371345A1
公开(公告)日：2016-12-22
申请号：US14745469
申请日：2015-06-22
Applicant: International Business Machines Corporation
Inventor： Igor Kostirev , Alex Melament , Yardena L. Peres , Edward Vitkin
IPC: G06F17/30
CPC classification number: G06F16/254 , G06F16/2246 , G06F16/283 , G06F16/285 , G06F16/335 , G06F16/93 , G06F16/9535
Abstract: Preprocessing heterogeneously-structured electronic documents for data warehousing, by semantically filtering a set of electronic documents, where each of the electronic documents is representable as a structural tree of nodes representing items of data, determining a distance between a plurality of pairs of the structural trees, identifying a plurality of clusters of the electronic documents based on the distances between the structural trees of the electronic documents, and removing any of the clusters based on predefined cluster filtering criteria.
Abstract translation: 预处理用于数据仓储的异构结构化电子文档，通过语义过滤一组电子文档，其中每个电子文档可表示为表示数据项的节点的结构树，确定多对结构树之间的距离 基于电子文档的结构树之间的距离来识别电子文档的多个集群，以及基于预定义的集群过滤标准去除任何集群。
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公开(公告)号：US20160246786A1
公开(公告)日：2016-08-25
申请号：US14625634
申请日：2015-02-19
Applicant: International Business Machines Corporation
Inventor： Igor Kostirev , Alex Melament , Ariel Farkash , Yardena L. Peres , Edward Vitkin
CPC classification number: G06F16/51 , G06F16/5866 , G06N5/04
Abstract: There is provided a method for receiving an image series including at least one image object, comprising: receiving, at an imaging server, a network message from an imaging client, the network message indicative of a start of transmission of an image series; applying a trained classifier to the network message to determine a number of image objects associated with the image series; counting the number of image objects transmitted by the imaging client and received at the imaging server; and generating a message indicative of termination of the image series when the determined number of image objects have been received at the imaging server.
Abstract translation: 提供了一种用于接收包括至少一个图像对象的图像序列的方法，包括：在成像服务器处从成像客户端接收指示图像序列的传输开始的网络消息; 将经过训练的分类器应用于所述网络消息以确定与所述图像序列相关联的多个图像对象; 计算由成像客户端发送并在成像服务器处接收的图像对象的数量; 以及当在所述成像服务器处接收到所确定的图像对象数量时，生成指示所述图像序列的终止的消息。
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公开(公告)号：US11763199B2
公开(公告)日：2023-09-19
申请号：US17128201
申请日：2020-12-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Edward Vitkin , Igor Kostirev-Kronos , Alex Melament , Yardena Lia Peres
IPC: G06N20/00 , G06F18/2415 , G06F18/21
CPC classification number: G06N20/00 , G06F18/21 , G06F18/2415 , G06F2218/00
Abstract: Time-series data uncertainty reduction can include generating an initial accumulated signal based on an event classifier prediction score. The event classifier prediction score can be generated by an event predicator based on time-series data and can correspond to a probability that a target event occurs. Signal leakage can be imposed on the initial accumulated signal. Additionally, an alert can be generated in response to determining that the initial accumulated signal is greater than an alert threshold.
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公开(公告)号：US11755945B2
公开(公告)日：2023-09-12
申请号：US16534582
申请日：2019-08-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Edward Vitkin , Igor Kostirev-Kronos , Alex Melament , Yardena Lia Peres
IPC: G06N20/00 , G06F18/2415 , G06F18/21
CPC classification number: G06N20/00 , G06F18/21 , G06F18/2415 , G06F2218/00
Abstract: Time-series data uncertainty reduction can include generating an initial accumulated signal based on an event classifier prediction score. The event classifier prediction score can be generated by an event predicator based on time-series data and can correspond to a probability that a target event occurs. Signal leakage can be imposed on the initial accumulated signal. Additionally, an alert can be generated in response to determining that the initial accumulated signal is greater than an alert threshold.
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公开(公告)号：US20210110216A1
公开(公告)日：2021-04-15
申请号：US17128201
申请日：2020-12-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Edward Vitkin , Igor Kostirev-Kronos , Alex Melament , Yardena Lia Peres
Abstract: Time-series data uncertainty reduction can include generating an initial accumulated signal based on an event classifier prediction score. The event classifier prediction score can be generated by an event predicator based on time-series data and can correspond to a probability that a target event occurs. Signal leakage can be imposed on the initial accumulated signal. Additionally, an alert can be generated in response to determining that the initial accumulated signal is greater than an alert threshold.
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