公开(公告)号：US11537797B2

公开(公告)日：2022-12-27

申请号：US16762684

申请日：2018-12-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Yiyi Hu ,  En Ouyang ,  Zuofeng Li

IPC: G06F40/295 ,  G06N20/00 ,  G06F40/284 ,  G06F40/205 ,  G06F40/242 ,  G06F40/154 ,  G06F40/30 ,  G06F40/211 ,  G06F40/289

Abstract: Extracting entities from a document with a hierarchical entity graph of entities. Entity definitions and entity recognition definitions are customized by a user and provided. The configuration information is utilized to generate (905) an entity graph, which is then utilized to parse one or more documents. In some implementations, the resulting parse tree may be utilized, in conjunction with user feedback, to generate one or more training instances for a machine learning model assigned to one or more of the custom nodes as an entity recognition definition. Parsing of the resulting tree may be performed with a lazy parsing methodology, with only the portions of interest to the user being identified in the document.

公开(公告)号：US12142378B2

公开(公告)日：2024-11-12

申请号：US16962088

申请日：2019-01-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Yiyi Hu ,  Yan Li ,  Zuofeng Li ,  Huichuan Sun ,  Mao Hua Yang ,  Jian Zhou ,  Jia Fan

IPC: G16H50/20 ,  A61B5/00 ,  G06F16/242 ,  G06F16/25 ,  G06F40/20 ,  G06F40/40 ,  G16H10/20 ,  G16H10/60 ,  G16H50/70 ,  G16H70/00

Abstract: Presented are concepts for detecting recurrence of a medical condition in a subject previously treated for the medical condition. One such concept comprises, using natural language processing, extracting information from a data set comprising information relating to the subject prior to and/or during the subject's previous treatment for the medical condition. The extracted information is reformulated into structured data based on a standardized model. A data retrieval request comprising a structured query adhering to a template is obtained and, based on the structured query of the data retrieval request, data is retrieved from the structured data.

公开(公告)号：US20210202111A1

公开(公告)日：2021-07-01

申请号：US17273798

申请日：2019-09-03

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Zuofeng Li ,  Dong Wen

IPC: G16H50/70 ,  G16H10/60

Abstract: A method for organizing medical record data based on classification of a set of medical records in accordance with an indexing intervention event identified for each record, associated with a medical intervention. The method is based on extracting for each of a plurality of medical records one or more candidate intervention events, and then mapping these to a dataset (or ontology) of standard intervention event names (indexing intervention events) in order to identify a closest matching indexing event for each extracted intervention event. The mapping is based on breaking down each extracted intervention event into a set of characterizing attributes of particular domains or types and then comparing these with corresponding attribute sets for each of the indexing events in the dataset. A closest match is found, and each medical record is classified according to the closest matching indexing event. Data is then aggregated based on the classifications, and also based on information about a user, e.g. a particular clinical area of expertise.

公开(公告)号：US20200342991A1

公开(公告)日：2020-10-29

申请号：US16962088

申请日：2019-01-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Yiyi Hu ,  Yan Li ,  Zuofeng Li ,  Huichuan Sun ,  Mao Hua Yang ,  Jian Zhou ,  Jia Fan

IPC: G16H50/20 ,  G16H10/60 ,  G16H50/70 ,  G16H10/20 ,  G16H70/00 ,  G06F16/25 ,  G06F16/242 ,  A61B5/00 ,  G06F40/20 ,  G06F40/40

Abstract: Presented are concepts for detecting recurrence of a medical condition in a subject previously treated for the medical condition. One such concept comprises, using natural language processing, extracting information from a data set comprising information relating to the subject prior to and/or during the subject's previous treatment for the medical condition. The extracted information is reformulated into structured data based on a standardized model. A data retrieval request comprising a structured query adhering to a template is obtained and, based on the structured query of the data retrieval request, data is retrieved from the structured data.

公开(公告)号：US20170357946A1

公开(公告)日：2017-12-14

申请号：US14572984

申请日：2014-12-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Qin Zhu ,  Yihui Fan ,  Zuofeng Li ,  Richard Vdovjak

IPC: G06Q10/10 ,  G06Q50/22

CPC classification number: G06Q10/1095 ,  G06Q50/22

Abstract: Embodiments of the present invention relate to clinical knowledge driven healthcare scheduling. There is disclosed a method of healthcare scheduling, comprising receiving a request to generate an appointment for a target user, the request at least containing identification of the target user; obtaining clinical knowledge associated with the target user by accessing a knowledge base, the clinical knowledge at least indicating time constraints and at least one required resource for the appointment; generating a group of prioritized candidate appointments by processing the request at least partially based on the obtained clinical knowledge, each of the candidate appointments being represented at least by appointment time and a priority; and selecting at least one recommended appointment from the group of prioritized candidate appointments based on availability of the at least one required resource. Corresponding apparatus, system and computer program product are also disclosed.