公开(公告)号：US20220208373A1

公开(公告)日：2022-06-30

申请号：US17139014

申请日：2020-12-31

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Ya Bin Dang ,  Ke Wang ,  Jian Wang ,  JIAN MIN JIANG

IPC: G16H50/20 ,  G06N5/02 ,  G06F40/30

Abstract: A machine-guided inquiry recommendation for medical diagnosis. Generate a knowledge graph data structure using one or more electronic medical guideline documents. Evaluate a likelihood value for one or more diseases based on the knowledge graph data structure. Generate a best next inquiry question for use in a medical diagnosis process.

公开(公告)号：US20200218744A1

公开(公告)日：2020-07-09

申请号：US16241000

申请日：2019-01-07

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Ke Wang ,  Pei Ni Liu ,  Wen Sun ,  Jing Min Xu ,  Songfang Huang ,  Yong Qin

IPC: G06F16/31 ,  G06N3/04 ,  G06K9/62 ,  G16H50/20 ,  G16H20/00

Abstract: Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.

公开(公告)号：US11983640B2

公开(公告)日：2024-05-14

申请号：US16730083

申请日：2019-12-30

Applicant: International Business Machines Corporation

Inventor： Zi Ming Huang ,  Jian Wang ,  Jing Li ,  Jian Min Jiang ,  Ke Wang ,  Xin Ni

IPC: G06F16/2458 ,  G06F16/332 ,  G06F16/901 ,  G06F40/186 ,  G06F40/205 ,  G06N5/02 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06N5/04 ,  G06F16/2458 ,  G06F16/3329 ,  G06F16/9024 ,  G06F40/186 ,  G06F40/205 ,  G06N5/02 ,  G06N20/00

Abstract: Techniques for generating a natural language question template for an artificial intelligence question and answer (QA) system are disclosed. A graph database query relating to a QA system is parsed using a predefined schema. The parsing includes extracting a first plurality of values from the graph database query relating to a where clause in the graph database query, extracting a second plurality of values from the graph database query relating to a return clause in the graph database query, identifying a QA template rule relating to the graph database query, based on a match clause in the graph database query. A natural language question template is generated based on the first plurality of values, the second plurality of values, and the identified QA template rule. The natural language question template is suitable for use by the QA system as part of generating a response to a natural language question.

公开(公告)号：US20220092352A1

公开(公告)日：2022-03-24

申请号：US17031376

申请日：2020-09-24

Applicant: International Business Machines Corporation

Inventor： Xue Han ,  Ya Bin Dang ,  Lijun Mei ,  Ke Wang

IPC: G06K9/62 ,  G06N5/04 ,  G06K9/00 ,  G06F40/30 ,  G06Q10/06

Abstract: This disclosure provides an approach to generating a label for an element of a business process model. The approach comprises obtaining at least one portion of a text segment that describes an element of a business process model. The approach further comprises applying a question-answering (QA) machine learning model to the at least one portion of the text segment to obtain a set of answers to a set of predetermined questions and generating a label for the element by combining the set of answers according to a format associated with the set of predetermined questions.

公开(公告)号：US11538586B2

公开(公告)日：2022-12-27

申请号：US16405047

申请日：2019-05-07

Applicant: International Business Machines Corporation

Inventor： Ke Wang ,  Jian Min Jiang ,  Bibo Hao ,  En Liang Xu ,  Yong Qin

IPC: G16H50/20 ,  G16H10/60 ,  G16H70/20 ,  G16H80/00 ,  G16H20/10

Abstract: A computer-implemented method for clinical decision support is provided according to an embodiment of the present disclosure. In the method, patient information can be obtained that comprises at least one clinical condition. A graph can be searched for at least one rule matching the at least one clinical condition. The graph represents a plurality of rule sets. The rule set comprises one or more rule. The rule can be indicated with a path comprising at least one first node and a second node. The first node can indicate a clinical condition, and the second node can indicate a clinical conclusion. Then, a clinical conclusion can be determined based on the at least one path in response that the at least one path matching the at least one clinical condition is searched out.

公开(公告)号：US11676735B2

公开(公告)日：2023-06-13

申请号：US16569818

申请日：2019-09-13

Applicant: International Business Machines Corporation

Inventor： Ke Wang ,  Jian Min Jiang ,  Jian Wang ,  Jing Li ,  Songfang Huang

IPC: G16H80/00 ,  G06N5/022 ,  G06N20/00 ,  G06N3/08 ,  G16H15/00 ,  G16H10/60 ,  G10L15/26

CPC classification number: G16H80/00 ,  G06N5/022 ,  G06N20/00 ,  G10L15/26 ,  G16H10/60 ,  G06N3/08 ,  G16H15/00

Abstract: Methods and apparatus for generating medical records from a doctor-patient dialogue are provided. A main content portion of a written doctor-patient conversation is identified. The main content portion of the conversation is extracted from the conversation. The main content of the conversation is divided into sections according to a pre-defined set of sections, and, based on the sections and their respective content, a medical record is generated according to a pre-defined template. The pre-defined template is one of a hard medical record format or a soft medical record format.

公开(公告)号：US11514091B2

公开(公告)日：2022-11-29

申请号：US16241000

申请日：2019-01-07

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Ke Wang ,  Pei Ni Liu ,  Wen Sun ,  Jing Min Xu ,  Songfang Huang ,  Yong Qin

IPC: G16H20/00 ,  G16H50/20 ,  G06F16/31 ,  G06N3/04 ,  G06K9/62

Abstract: Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.

公开(公告)号：US11308289B2

公开(公告)日：2022-04-19

申请号：US16569874

申请日：2019-09-13

Applicant: International Business Machines Corporation

Inventor： Jian Min Jiang ,  Jian Wang ,  Songfang Huang ,  Jing Li ,  Ke Wang

IPC: G06F40/58 ,  G06F40/44 ,  G06F40/197 ,  G06F40/237

Abstract: Method and apparatus are presented for receiving a medical or medical condition related input term or phrase in a source language, and translating the term or phrase from the source language into at least one target language to obtain a set of translated terms of the input term. For each translated term in the set of translations, the method and apparatus further translate the set of translations back into the source language to obtain an output list of standard versions of the input term, scoring each entry of the output list as to probability of being the most standard version of the input term, and providing the entry of the output list that has the highest score to a user.

公开(公告)号：US11263223B2

公开(公告)日：2022-03-01

申请号：US16168129

申请日：2018-10-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jian Min Jiang ,  En Liang Xu ,  Bibo Hao ,  Eryu Xia ,  Jing Li ,  Ke Wang

IPC: G06F16/2457 ,  G06N5/02 ,  G06N20/00 ,  G06F16/28

Abstract: Methods and systems for using machine learning to determine electronic document similarity include extracting entities and corresponding relationships from each of two electronic documents of a corpus of electronic documents based on word embedding, computing an entity distance between the extracted entities and a relationship distance between the extracted relationships based on knowledge graph embedding, combining the entity and relationship distances to generate a similarity score between the electronic documents, and implementing the similarity score to perform a task associated with the electronic documents.

公开(公告)号：US11056822B2

公开(公告)日：2021-07-06

申请号：US16519805

申请日：2019-07-23

Applicant: International Business Machines Corporation

Inventor： Jian Wang ,  Jing Li ,  Jian Min Jiang ,  Ke Wang ,  Zi Ming Huang

IPC: H01R13/514 ,  H01R13/11 ,  H01R13/04

Abstract: A method and apparatus for providing power includes a power socket module having a first conducting layer and a second conducting layer. An insulating layer may be positioned in between the first and second conducting layers. A plug includes a first prong having a first length and second prong having a second length, where the first length is longer than the second length. When the plug is plugged into the power socket module, the first prong electrically couples to the second conducting layer, and the second prong electrically couples to the first conducting layer.