公开(公告)号：US20220180200A1

公开(公告)日：2022-06-09

申请号：US17115953

申请日：2020-12-09

Applicant: International Business Machines Corporation

Inventor： Yi Qin Yu ,  Chao Xue ,  Shiwan Zhao

IPC: G06N3/08 ,  G06N5/04 ,  G06K9/62

Abstract: Aspects of the invention include methods and systems that include obtaining a source domain dataset. The source domain dataset includes corresponding labels, and the source domain dataset and the corresponding labels are associated with training a source domain machine learning model. A method includes obtaining a target domain dataset without corresponding labels and a feature vector that identifies features in the source domain dataset and the target domain dataset. The method also includes obtaining a set of loss terms from known machine learning models that implement a domain adversarial neural network (DANN) architecture. The DANN architecture includes feed-forward propagation and backpropagation. A target domain machine learning model is obtained based on the source domain dataset, the target domain dataset, the feature vector, and the set of loss terms and without labels for the target domain dataset to perform training.

公开(公告)号：US20220093259A1

公开(公告)日：2022-03-24

申请号：US17031592

申请日：2020-09-24

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jing Li ,  Jing Mei ,  Yi Qin Yu ,  Jian Wang

IPC: G16H50/30 ,  G16H10/60 ,  G16H50/20 ,  G16H70/20 ,  G16H50/70 ,  G16H10/40 ,  G06F16/22 ,  G06F16/28 ,  A61B5/00

Abstract: A method, a system and a computer program product may evaluate reduction of disease risk. Patient data of a patient may be received. A selection of a disease outcome may be received. A risk score that the patient will experience the selected disease outcome may be determined. The determining may use the patient data. Intervention options may be generated based on the patient data and by accessing a medical record data structure. An intervention effect for each of the intervention options may be determined. The intervention effect may change the risk score. The intervention effects may be compared. A recommendation of at least one of the intervention options may be provided based on the comparing of the intervention effects.

公开(公告)号：US11281801B2

公开(公告)日：2022-03-22

申请号：US16238216

申请日：2019-01-02

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Sui Jun Tong ,  Wen Sun ,  Yi Qin Yu ,  Eryu Xia ,  Yong Qin

IPC: H04L29/06 ,  G06F21/62 ,  G06F21/60 ,  G06N20/00 ,  G06F16/28

Abstract: A system for decentralized privacy-preserving clinical data evaluation includes a plurality of sites of a decentralized private network, a memory device for storing program code, and at least one processor device operatively coupled to the memory device and configured to execute program code stored on the memory device to, for each of the local datasets, evaluate the local dataset using each of the local models to obtain one or more features related to a degree of outlierness, determine at least one outlier dataset based on the one or more features, and implement one or more actions based on the determination.

公开(公告)号：US20200167347A1

公开(公告)日：2020-05-28

申请号：US16199023

申请日：2018-11-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Yi Qin Yu ,  En Liang Xu ,  Shi Lei Zhang ,  Bibo Hao ,  Eryu Xia

IPC: G06F16/242 ,  G06F16/2457 ,  G06F16/28 ,  G06F16/901

Abstract: A computer-implemented method, system, and computer program product are provided for enhanced search strategies. The method includes selecting, by a processor device, known candidate sources related to a search topic. The method also includes ranking, by the processor device, keyphrase candidates from the known candidate sources according to inter-topic weighting. The method additionally includes assembling, by the processor device, a search string of a predetermined number of top ranked keyphrase candidates. The method further includes generating, by the processor device, new candidate sources from a candidate source repository responsive to the search string. The method also includes defining, by the processor device, a candidate source pool by the known candidate sources and the new candidate sources to reduce user search times on computer interface devices.

公开(公告)号：US10423416B2

公开(公告)日：2019-09-24

申请号：US15834554

申请日：2017-12-07

Applicant: International Business Machines Corporation

Inventor： Bi Bo Hao ,  Wen Sun ,  Yi Qin Yu ,  Guo Tong Xie

IPC: G06F9/30 ,  G06F8/30 ,  G06F16/903 ,  G06F16/901

Abstract: This disclosure provides a computer-implemented method for automatically creating a macro-service. The method includes: converting source code of an analytic program that includes a set of operation units into a graph representation. Each of the set of operation units performs at least an operation to a data object, and the method further includes performing a query associated with the macro-service on the graph representation to determine a subset of the graph representation. The method further includes generating code for the macro-service based on the determined subset of the graph representation.

公开(公告)号：US20180060044A1

公开(公告)日：2018-03-01

申请号：US15252960

申请日：2016-08-31

Applicant: International Business Machines Corporation

Inventor： Bi Bo Hao ,  Gang Hu ,  Jing Li ,  Wen Sun ,  Guo Tong Xie ,  Yi Qin Yu

IPC: G06F9/44

CPC classification number: G06F8/33

Abstract: This disclosure provides a computer-implemented method for code suggestion. The method comprises collecting a set of runtime context features of a program that is being edited. The method further comprises comparing the set of runtime context features with at least one set of stored context features to find at least one matching set of stored context features. Each of the at least one set of stored context features is extracted from a corresponding code segment. The method further comprises presenting at least one code segment with its set of stored context features matching the set of runtime context features, for the user to choose to add into the program.

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.

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。

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。

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.