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An acupuncture decision support method and device based on knowledge graph

A knowledge graph and decision support technology, applied in the field of acupuncture decision support based on knowledge graph, can solve the problems of no acupuncture decision-making platform, insufficient development, waste of information time, etc., to meet the needs of knowledge query.

Inactive Publication Date: 2019-05-07
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the current decision support systems are independent of the workflow of medical staff, and belong to different systems from the electronic case system, and the repeated input of information causes waste of time
At the same time, because the data extraction efficiency of the current medical decision support technology is too low, it cannot effectively help the system to screen out some decisions that obviously do not conform to medical common sense or logic, so there is still a lot of room for optimization in the construction of the decision support system platform
Moreover, the data mining of traditional Chinese medicine has only attracted the attention of the academic circle in recent years, and its development is not perfect, and there is no decision-making platform for acupuncture and moxibustion in the existing technology

Method used

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  • An acupuncture decision support method and device based on knowledge graph
  • An acupuncture decision support method and device based on knowledge graph
  • An acupuncture decision support method and device based on knowledge graph

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Experimental program
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Embodiment 1

[0024] Such as figure 1 As shown, the embodiment of the present application provides a knowledge map-based acupuncture decision support method, which may include the following steps:

[0025] 101. Training acupuncture and moxibustion knowledge map.

[0026] Specifically, step 101 can be implemented in the following manner: collect a plurality of acupuncture treatment documents to form the first training sample set, and mark the medical information entities involved in each acupuncture point contained in each acupuncture treatment document and the medical information entities belonging to the medical information entities. Acupuncture and moxibustion concept, as the annotation combination of acupuncture and moxibustion literature, the acupuncture and moxibustion knowledge map is obtained by the combination of annotation and combination of each acupuncture and moxibustion literature in the first training sample set.

[0027] Usually, in order to obtain as many decisions as possi...

Embodiment 2

[0068] Such as Figure 4 As shown, the embodiment of the present application provides an acupuncture decision support device based on a knowledge map, which may include:

[0069] The document data processing unit 20 is used to collect multiple acupuncture treatment documents to form the first training sample set, and mark the medical information entities involved in each acupuncture point contained in each acupuncture treatment document and the acupuncture concepts belonging to the medical information entities , as the annotation combination of the acupuncture literature, the acupuncture knowledge map is obtained by the annotation combination composition of each acupuncture literature in the first training sample set.

[0070] The medical record data processing unit 21 is configured to collect the acupuncture medical records of multiple patients to form the second training sample set, and extract the medical information entities involved in the medical record information of ea...

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Abstract

The invention provides a knowledge graph based acupuncture and moxibustion decision support method and apparatus. The method comprises the steps of marking medical information entities of acupuncture and moxibustion points and acupuncture and moxibustion concepts belonging to the medical information entities in a large amount of acupuncture and moxibustion treatment literatures to obtain an acupuncture and moxibustion knowledge graph; and extracting medical information entities involved in medical record information of patients and acupuncture and moxibustion concepts belonging to the medical information entities from a large amount of acupuncture and moxibustion medical records to obtain a medical record marking graph, combining a marking combination of the acupuncture and moxibustion literatures with the consistent acupuncture and moxibustion concepts with a marking combination of the acupuncture and moxibustion medical records to form an acupuncture and moxibustion-medical record knowledge graph, inputting disease characteristics of a target patient, and searching for a diagnostic decision from the acupuncture and moxibustion-medical record knowledge graph. The medical information is pre-marked, so that decisions not conforming to a conventional medical principle can be reduced and an accurate acupuncture and moxibustion decision support can be provided for users; and not only medical records and later treatment situations of patients similar to those of doctor-seeing patients but also a complete acupuncture and moxibustion knowledge network can be provided for physicians, so that the knowledge query demands of the physicians are met.

Description

technical field [0001] The present application relates to the field of medical informatics processing, in particular to an acupuncture decision support method and device based on a knowledge graph. Background technique [0002] The medical decision support system and its supporting technology is one of the hotspots that are widely concerned by the academic circles and all walks of life. For the integration of decision support system and medicine, the industry has launched some applicable products, the most widely used of which are Event Monitor and decision support system (MYCIN) used in foreign clinical applications. [0003] However, most of the current decision support systems are independent of the workflow of medical staff and belong to different systems from the electronic case system, and the repeated input of information causes waste of time. At the same time, because the data extraction efficiency of the current medical decision support technology is too low, it ca...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70G16H50/20
CPCG16H50/20G16H50/70
Inventor 沈颖雷凯陈辰
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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