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公开(公告)号：US20220327291A1
公开(公告)日：2022-10-13
申请号：US17225169
申请日：2021-04-08
发明人： Sergey Zeltyn , Avi Yaeli
摘要： Disclosed herein are methods and systems for generating automatically transactional dialog flows for a virtual assistant based on a set of predefined (labeled) transactional flows defining user interaction paths to accomplish one or more tasks. The virtual assistant is represented by a tree structure comprising a plurality of dialog nodes where each transactional flow comprises a respective subset of the nodes descending from a parent node to one or more completion nodes. New transactional flows may be generated automatically based on similarity with the predefined transactional flows, by selecting a candidate node and one of the predefined transactional flows comprising a completion node most similar to the candidate completion node and further selecting a candidate parent node most similar to the parent node of the selected predefined transactional flow. The new transactional flows may be then generated to comprise all descendant nodes of the candidate parent node.
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2.发明授权公开(公告)号：US11238982B2
公开(公告)日：2022-02-01
申请号：US15867766
申请日：2018-01-11
摘要： A system for managing medical events, includes: at least one medical sensor, configured to output a plurality of sensor measurements; at least one display; at least one hardware processor connected to the medical sensor and the display, and adapted to: receive a plurality of events, each having a time of occurrence, including the plurality of measurements and a plurality of external events; identify a target sequence of events in the plurality of events; identify in the plurality of events a plurality of matching sequences, each including a sequence of events matching the target sequence; augment each of the matching sequences with some temporally related events according to a predefined time test; cluster the plurality of augmented sequences in a plurality of clusters according to a temporal distribution of events; and display on the display a visual representation of the plurality of clusters according to a predefined set of similarity criteria.
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公开(公告)号：US09860690B2
公开(公告)日：2018-01-02
申请号：US15011688
申请日：2016-02-01
发明人： Peter Bak , Roie Melamed , Yuval Nardi , Avi Yaeli
摘要： Automatic determination of presence-related roles. Presence data of a plurality of users in a space comprised of one or more zones is received. For each user of the plurality of users a value of a target metric in a zone is computed based on the presence data, the target metric defining a measure of user presence. A presence-related role is assigned to a user with respect to the zone, the presence-related role being comprised in a set of one or more presence-related roles describing categories of spatiotemporal occupancy relation between the user and the zone, wherein said assigning comprises applying a mapping function on the value, the mapping function maps between values of the target metric and the one or more presence-related roles, the mapping function is affected by analytics of the presence data.
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公开(公告)号：US20160196669A1
公开(公告)日：2016-07-07
申请号：US14590061
申请日：2015-01-06
发明人： Peter Bak , Gilad M. Saadoun , Harold J. Ship , Craig A. Statchuk , Avi Yaeli
CPC分类号： G06T11/20 , G06F17/3053 , G06K9/00476 , G06K9/52 , G06K9/6201 , G06K9/6267 , G06T5/006 , G06T17/05 , G06T19/00 , G09B29/005
摘要： A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.
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公开(公告)号：US11928010B2
公开(公告)日：2024-03-12
申请号：US17490267
申请日：2021-09-30
发明人： Sergey Zeltyn , Avi Yaeli
IPC分类号： G06F11/07 , G06F18/2113 , G06F18/2115 , G06F18/214 , G06N20/00
CPC分类号： G06F11/079 , G06F18/2113 , G06F18/2115 , G06F18/214 , G06N20/00
摘要： An example system includes a processor that can receive conversation logs of a dialogue system to be analyzed. The processor can train a predictive machine learning model using a training set of the conversation logs on a selected feature to obtain feature values with associated importance values. The processor can select a number of feature values using a significance score calculated based on the associated importance values. The processor can generate an interactive user interface including the selected number of feature values.
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公开(公告)号：US09679399B2
公开(公告)日：2017-06-13
申请号：US15232891
申请日：2016-08-10
发明人： Peter Bak , Gilad M. Saadoun , Harold J. Ship , Craig A. Statchuk , Avi Yaeli
IPC分类号： G06T11/20 , G06K9/00 , G06T5/00 , G06K9/62 , G06K9/52 , G06F17/30 , G06T17/05 , G09B29/00 , G06T19/00
CPC分类号： G06T11/20 , G06F17/3053 , G06K9/00476 , G06K9/52 , G06K9/6201 , G06K9/6267 , G06T5/006 , G06T17/05 , G06T19/00 , G09B29/005
摘要： A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.
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7.发明授权Method to optimize the visualization of a map's projection based on data and tasks 有权基于数据和任务优化地图投影可视化的方法公开(公告)号：US09536328B2
公开(公告)日：2017-01-03
申请号：US14590061
申请日：2015-01-06
发明人： Peter Bak , Gilad M. Saadoun , Harold J. Ship , Craig A. Statchuk , Avi Yaeli
CPC分类号： G06T11/20 , G06F17/3053 , G06K9/00476 , G06K9/52 , G06K9/6201 , G06K9/6267 , G06T5/006 , G06T17/05 , G06T19/00 , G09B29/005
摘要： A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.
摘要翻译： 使用计算机生成地图的方法和系统基于数据和加权因子来最小化相应的投影失真。 该方法和系统包括使用计算机分析用于地图的一组数据集来确定可视化目标。 基于使用计算机的可视化目标，为每个数据集计算一组可视化特征。 将可视化特征分析为每个数据集的权重因子。 基于用于可视化地图的每个数据集的相关性来调整每个加权因子。 基于所有数据集计算加权因子的汇总向量，并且基于加权因子的汇总向量生成可视化图。
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公开(公告)号：US10818051B2
公开(公告)日：2020-10-27
申请号：US16214160
申请日：2018-12-10
发明人： Peter Bak , Swapnil Chhabra , Joern Jaskolowski , Adam Perer , Avi Yaeli
IPC分类号： G06T11/20 , G06F16/901
摘要： A pathway for each entity in a cohort may be extracted from raw data comprising a plurality of events. A common graph structure may be created based the extracted pathways. For each cohort, a relative signature trait may be computed for each edge based on a number of appearances of the edge in the extracted pathways that are associated with the cohort. A relationship expression may be obtained. The relationship expression may be with respect to at least two cohorts for which relative signature traits were computed. The common graph structure may be processed based on the relationship expression to determine an output label for each edge. A visualization of the common graph structure may be displayed.
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公开(公告)号：US20200184691A1
公开(公告)日：2020-06-11
申请号：US16214160
申请日：2018-12-10
发明人： PETER BAK , Swap Chhabra , Joern Jaskolowsky , Adam Perer , Avi Yaeli
IPC分类号： G06T11/20 , G06F16/901
摘要： A pathway for each entity in a cohort may be extracted from raw data comprising a plurality of events. A common graph structure may be created based the extracted pathways. For each cohort, a relative signature trait may be computed for each edge based on a number of appearances of the edge in the extracted pathways that are associated with the cohort. A relationship expression may be obtained. The relationship expression may be with respect to at least two cohorts for which relative signature traits were computed. The common graph structure may be processed based on the relationship expression to determine an output label for each edge. A visualization of the common graph structure may be displayed.
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公开(公告)号：US20190272654A1
公开(公告)日：2019-09-05
申请号：US15910379
申请日：2018-03-02
发明人： Avi Yaeli , Peter Bak , Adam Perer , Shay Segal
IPC分类号： G06T11/20 , G06F17/30 , G06F9/451 , G06F3/0484
摘要： There is provided a method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining comprising: receiving via a graphical user interface (GUI), manual selections including: knowledge-driven variable(s) denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG), computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the manual selections, and aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the nodes, each link denoting an automatically discovered sequence between two respective nodes, and presenting the cohort clinical pathway DAG within the GUI.
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