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公开(公告)号：US11335460B2
公开(公告)日：2022-05-17
申请号：US15807931
申请日：2017-11-09
Applicant: International Business Machines Corporation
Inventor： Shi Jing Guo , Xiang Li , Hai Feng Liu , Zhi Qiao , Guo Tong Xie , Shi Wan Zhao
Abstract: Techniques for identifying representative patients from a patient group are provided. Based on an outcome of interest, one or more patients can be grouped according to phenotyping features associated with the outcome of interest. Additionally, in response to grouping the one or more patients, a representative patient of the one or more patients can be determined based on values associated with the phenotyping features.
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公开(公告)号：US11238989B2
公开(公告)日：2022-02-01
申请号：US15806757
申请日：2017-11-08
Applicant: International Business Machines Corporation
Inventor： Gang Hu , Xiang Li , Hai Feng Liu , Jing Mei , Eryu Xia , En Liang Xu , Shi Wan Zhao
Abstract: Systems, computer-implemented methods and/or computer program products that facilitate predicting personalized risks based on intrinsic factors and extrinsic factors are provided. In one example, a computer-implemented method comprises: collecting, by a system operatively coupled to a processor, intrinsic factors and extrinsic factors associated with infectious diseases; generating, by the system, a probabilistic model based on the intrinsic factors and extrinsic factors, wherein the model incorporates node characteristics into infection probability; and refining, by the system, the model through concurrently learning respective node thresholds and hidden infection network structure of the model.
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公开(公告)号：US10832144B2
公开(公告)日：2020-11-10
申请号：US15485950
申请日：2017-04-12
Applicant: International Business Machines Corporation
Inventor： Shi Jing Guo , Xiang Li , Hai Feng Liu , Guo Tong Xie , Shi Wan Zhao
IPC: G06Q10/00 , G06Q10/06 , G06F12/08 , G06F16/90 , G06F17/50 , G06N5/02 , G16H20/10 , G16H40/67 , G16H50/70 , G16H40/40
Abstract: A method, system, and computer program product for obtaining a candidate event sequence that includes at least one event for achieving a goal, obtaining a reference event sequence, the candidate event sequence comprising at least one event that is not comprised in the reference event sequence, comparing an effectiveness of the candidate event sequence on the goal and an effectiveness of the reference event sequence on the goal, and identifying the candidate event sequence as an effective sequence for achieving the goal in response to the effectiveness of the candidate event sequence being better than the effectiveness of the reference event sequence.
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公开(公告)号：US20170083013A1
公开(公告)日：2017-03-23
申请号：US14862620
申请日：2015-09-23
Applicant: International Business Machines Corporation
Inventor： Bing Li , Xiang Li , Xiao Jian Lian , Dan Liu , Haifeng Liu , Jing Mei , Guo Tong Xie , Yi Qin Yu , Jing Zhang
IPC: G05B19/418
CPC classification number: G05B17/02
Abstract: Disclosed are a computer-implemented method for converting a procedural process model for a process to a hybrid process model, a system and a computer program product. In this method, a plurality of steps of the process which are included in the procedural process model may be clustered selectively according to historical execution information of the plurality of steps, to generate a plurality of candidate cluster set. One candidate cluster set satisfying a first condition may be selected from the plurality of candidate cluster sets. Then, the procedural process model may be converted into the hybrid process model according to the selected candidate cluster set.
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公开(公告)号：US20160063195A1
公开(公告)日：2016-03-03
申请号：US14828649
申请日：2015-08-18
Applicant: International Business Machines Corporation
Inventor： Jing Li , Xiang Li , Haifeng Liu , Jing Mei , Guo Tong Xie , Yi Qin Yu
IPC: G06F19/00
Abstract: The present disclosure provides a method, apparatus and system for processing a case management model (CMM). According to an embodiment, there is provided a method for processing a CMM, the method includes: obtaining an existing CMM having a plurality of elements; obtaining a new CMM having at least one element; aligning an element of the new CMM to an element of the existing CMM according to match costs between the element of the new CMM and the plurality of elements of the existing CMM; and fusing the new CMM into the existing CMM based on the match cost between the aligned elements.
Abstract translation: 本公开提供了一种用于处理病例管理模型（CMM）的方法，装置和系统。 根据实施例，提供了一种用于处理CMM的方法，所述方法包括：获得具有多个元素的现有CMM; 获得具有至少一个元素的新的CMM; 根据新CMM的元素与现有CMM的多个元素之间的匹配成本，将新CMM的元素与现有CMM的元素对齐; 并根据对齐的元素之间的匹配成本将新的CMM融合到现有的CMM中。
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Patent Agency Ranking
公开(公告)号：US20150294231A1
公开(公告)日：2015-10-15
申请号：US14748837
申请日：2015-06-24
Applicant: International Business Machines Corporation
Inventor： Jing Li , Xiang Li , Haifeng Liu , Guo Tong Xie , Yi Qin Yu , Shi Lei Zhang
IPC: G06N7/00
Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
Abstract translation: 一种用于检测事件日志和过程模型之间的偏差的方法包括将过程模型转换为概率过程模型，所述概率过程模型包括多个层次中的多个节点以及与所述多个节点相关联的概率分布，所述多个节点中的叶节点 对应于过程模型中的活动; 根据对应关系检测包含在事件日志中的至少一个事件序列与概率过程模型之间的差异; 并且将差异识别为响应于超过预定阈值的差异的偏差; 其中所述对应关系描述所述至少一个事件序列的一个事件序列中的事件与所述概率过程模型中的叶节点之间的对应关系。
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公开(公告)号：US20150213373A1
公开(公告)日：2015-07-30
申请号：US14598655
申请日：2015-01-16
Applicant: International Business Machines Corporation
Inventor： Jing Li , Xiang Li , Haifeng Liu , Guo Tong Xie , Yi Qin Yu , Shi Lei Zhang
IPC: G06N7/00
CPC classification number: G06N7/005
Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
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公开(公告)号：US11410757B2
公开(公告)日：2022-08-09
申请号：US15797295
申请日：2017-10-30
Applicant: International Business Machines Corporation
Inventor： Xiang Li , Hai Feng Liu , Guo Tong Xie , Yi Qin Yu , Ping Zhang
Abstract: Systems, computer-implemented methods and/or computer program products that facilitate providing treatment suggestions are described herein. In one example, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, treatment directed graphs associated with a plurality of treatment regimens, wherein, in connection with generating respective treatment directed graphs, penalties are applied during weighting of respective regimens as a function of an associated confidence level; identifying a treatment directed graph that corresponds to the patient directed graph; and outputting a set of treatment suggestions associated with the treatment directed graph that corresponds to the patient directed graph.
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公开(公告)号：US10592368B2
公开(公告)日：2020-03-17
申请号：US15794988
申请日：2017-10-26
Applicant: International Business Machines Corporation
Inventor： Shi Jing Guo , Xiang Li , Hai Feng Liu , Jing Mei , Zhi Qiao , Guo Tong Xie , Shi Wan Zhao
IPC: G06F11/22 , G06N3/04 , G06N3/08 , G06F11/263
Abstract: A method and system of imputing corrupted sequential data is provided. A plurality of input data vectors of a sequential data is received. For each input data vector of the sequential data, the input data vector is corrupted. The corrupted input data vector is mapped to a staging hidden layer to create a staging vector. The input data vector is reconstructed based on the staging vector, to provide an output data vector. adjusted parameter of the staging hidden layer is iteratively trained until it is within a predetermined tolerance of a loss function. A next input data vector of the sequential data is predicted based on the staging vector. The predicted next input data vector is stored.
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公开(公告)号：US10474956B2
公开(公告)日：2019-11-12
申请号：US14748850
申请日：2015-06-24
Applicant: International Business Machines Corporation
Inventor： Jing Li , Xiang Li , Haifeng Liu , Guo Tong Xie , Yi Qin Yu , Shi Lei Zhang
IPC: G06N7/00
Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.
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