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Medical conflict detection method and device, electronic equipment and storage medium

A technology for detecting conditions and medical information, applied in medical equipment, reasoning methods, neural learning methods, etc., can solve problems such as the inability to detect the conflict relationship between medical entities and the inability to use the edge relationship information of medical entities, so as to achieve comprehensive and accurate detection of medical Effects of conflict, convenience of medical data, convenience of use

Active Publication Date: 2020-07-28
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be found from the implementation scheme of the above prior art that independent rule fragments are used to constrain the relationship between medical entities. If there is an edge relationship between medical entities, the existing technical scheme cannot use the edge relationship information of the medical entity; because The rule fragments are completely independent, and the potential conflict relationship between medical entities cannot be detected by using existing technical solutions

Method used

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  • Medical conflict detection method and device, electronic equipment and storage medium
  • Medical conflict detection method and device, electronic equipment and storage medium
  • Medical conflict detection method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] figure 1 It is a schematic flow chart of the medical conflict detection method provided in Embodiment 1 of the present application. The method can be executed by a medical conflict detection device or an electronic device, and the device or electronic device can be implemented by software and / or hardware. The device Or the electronic device can be integrated in any smart device with network communication function. Such as figure 1 As shown, the detection method of medical conflict may include the following steps:

[0058] S101. Obtain the user's medical quality control requirements, and convert the medical quality control requirements into corresponding structured data.

[0059] In a specific embodiment of the present application, the electronic device can obtain the user's medical quality control requirements, and convert the medical quality control requirements into corresponding structured data. Specifically, the medical quality control requirement refers to the m...

Embodiment 2

[0070] figure 2 It is a schematic flowchart of the medical conflict detection method provided in Embodiment 2 of the present application. Such as figure 2 As shown, the detection method of medical conflict may include the following steps:

[0071] S201. Obtain the user's medical quality control requirements, and convert the medical quality control requirements into corresponding structured data.

[0072] In a specific embodiment of the present application, the electronic device can obtain the user's medical quality control requirements, and convert the medical quality control requirements into corresponding structured data. Specifically, the electronic device can convert medical quality control requirements into corresponding structured data through the NLU model. In this step, the electronic device can input the user's medical quality control requirements into the NLU model, and the NLU model can output structured data corresponding to the medical quality control require...

Embodiment 3

[0089] Figure 5 It is a schematic structural diagram of the medical conflict detection device provided in Embodiment 3 of the present application. Such as Figure 5 As shown, the device 500 includes: a conversion module 501, a detection module 502, a determination module 503, and a push module 504; wherein,

[0090] The conversion module 501 is used to obtain the user's medical quality control requirements, and convert the medical quality control requirements into corresponding structured data;

[0091] The detection module 502 is configured to use each field in the structured data as a medical entity, and detect whether each medical entity in the structured data satisfies each field corresponding to any leaf node through a pre-established rule inference network. detection conditions;

[0092] The determination module 503 is configured to determine that the medical quality control requirement hits the leaf node if each medical entity in the structured data satisfies each d...

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Abstract

The invention discloses a medical conflict detection method and device, electronic equipment and a storage medium, and relates to the technical field of knowledge maps. According to the specific implementation scheme, the method comprises the steps of obtaining a medical quality control demand of a user, and converting the medical quality control demand into structural data corresponding to the medical quality control demand; taking each field in the structural data as a medical entity, and detecting whether each medical entity in the structural data meets each detection condition corresponding to any one leaf node through a pre-established rule inference network; if each medical entity in the structural data meets each detection condition corresponding to any one leaf node, judging that the medical quality control demand hits the leaf node; and pushing the medical conflict information corresponding to the leaf node to the user. According to the embodiment of the invention, the medicalconflict can be detected comprehensively and accurately, the medical data can be expanded conveniently, and the use of a user is facilitated.

Description

technical field [0001] The present application relates to the field of computer application technology, and further relates to knowledge map technology, especially a method, device, electronic equipment and storage medium for detecting medical conflicts. Background technique [0002] Clinical Decision Support System (CDSS for short) is a medical information technology application system based on human-computer interaction, which aims to provide clinical decision support for doctors and other health practitioners. High-quality medical records, based on various AI technologies such as Baidu medical knowledge graphs, natural language processing, and cognitive computing, integrate probabilistic graph reasoning, rule reasoning, and a multi-model decision system based on deep learning to create a clinical assistant decision support system that follows evidence-seeking medicine , to improve diagnostic accuracy and reduce misdiagnosis and missed diagnosis. [0003] In the existing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06F16/28G06N5/04H04L29/08
CPCG16H50/20G06F16/288G06N5/04H04L67/55G16H40/00G16H70/20Y02P90/30G16H80/00G16H40/67G16H40/63G06N3/04G06N3/08G06N5/01G16H50/70
Inventor 郑宇宏薛成韵曾启飞郭辉李陶
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD