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Data processing method and device, computer equipment and storage medium

A technology of data processing and computer programs, applied in the field of intelligent medical care, can solve problems such as limited professional experience, patients' inability to suffer from disease risks, prediction, etc., achieve accurate parameter data, improve reliability and accuracy

Active Publication Date: 2020-12-11
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the existing disease prediction methods are mainly limited to the professional experience of doctors and patients cannot predict the risk of disease by themselves, we now provide a method that can combine the diagnostic data of historical patients to provide patients and doctors with reliability and accuracy. Data processing method, device, computer equipment and storage medium for highly predictive results

Method used

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  • Data processing method and device, computer equipment and storage medium
  • Data processing method and device, computer equipment and storage medium
  • Data processing method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] see figure 1 , a data processing method of the present embodiment, comprising the following steps:

[0050] S1. Construct a knowledge map based on historical patient diagnosis data;

[0051] In this step, the diagnostic data of the historical patient may include information such as the patient’s name, department, symptom, etiology, treatment method, drug name, prevention, etc., to generate a knowledge base including human understanding of the disease and the doctor’s diagnostic experience, The knowledge map can include a triple structure of nodes, content, and relationships, which can be roughly summarized as a composition map of nodes and relationships, which is very helpful for the analysis and research of medical data.

[0052] Further, the step S1 may include the following steps:

[0053] S11. Perform entity recognition and relationship extraction on the historical patient diagnosis data, and construct a data set of entities and relationships;

[0054] In this embo...

Embodiment 2

[0094] see Figure 6 , a data processing device 1 of the present embodiment, comprising: an acquisition unit 11, a first processing unit 12, a second processing unit 13, a matching unit 14 and a classification unit 15, wherein:

[0095] An acquisition unit 11, configured to construct a knowledge map based on historical patient diagnosis data;

[0096] The diagnostic data of the historical patient may include information such as the patient’s name, department, symptom, etiology, treatment method, drug, and prevention, and generate a knowledge base including human understanding of the disease and the doctor’s diagnostic experience. The knowledge map may include nodes, The triple structure of content and relationship can be roughly summarized as a composition map of nodes and relationships, which is very helpful for the analysis and research of medical data. Entity refers to something that is distinguishable and exists independently. Such as patients "Zhang San", "Li Si" and so...

Embodiment 3

[0112] In order to achieve the above object, the present invention also provides a computer device 2, the computer device 2 includes a plurality of computer devices 2, the components of the data processing device 1 in Embodiment 2 can be dispersed in different computer devices 2, and the computer device 2 It can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a rack server, a blade server, a tower server, or a cabinet server (including a stand-alone server, or a server cluster composed of multiple servers), etc. . The computer device 2 of this embodiment at least includes but is not limited to: a memory 21, a processor 23, a network interface 22, and a data processing device 1 (refer to Figure 7 ). It should be pointed out that, Figure 7 Only the computer device 2 is shown with components - but it should be understood that implementing all of the illustrated components is not a requirement and that more or fewer components may instead be impleme...

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PUM

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Abstract

The invention discloses a data processing method and device, computer equipment and a storage medium, and relates to the field of intelligent medical treatment. A knowledge graph is constructed basedon historical patient diagnosis data, and a first treatment sequence of each historical patient in the knowledge graph is acquired; diagnosis data of a target patient is acquired, and a second treatment sequence of the target patient is generated according to the diagnosis data; the second treatment sequence is matched with the first treatment sequences of all the historical patients in the knowledge graph to obtain the diagnosis data of the historical patients matched with the second treatment sequence, so that the reliability and accuracy of the diagnosis data are improved; and the second treatment sequence is classified by adopting a classification model to obtain diagnosis probability data so as to provide medical reference for the target patient / doctor, and more reliable and accurateparameter data can be provided for the target patient / doctor in combination with the diagnosis data obtained by matching and the diagnosis probability data.

Description

technical field [0001] The present invention relates to the field of intelligent medical treatment, in particular to a data processing method, device, computer equipment and storage medium. Background technique [0002] With the development of information technology and the advent of the intelligent age, information technology has been applied in national governance, economic operation, medical and health care, etc., and a large amount of data has also been generated, and the growth rate of data in the medical industry is particularly prominent. Medical big data It is of great value, especially in clinical auxiliary diagnosis and treatment and health management, combining clinical data, clinical guidelines, and omics data through big data, knowledge graphs, and visualization systems, comprehensive coverage of core medical concepts, and comprehensive coverage within the medical ecosystem The aggregation of knowledge data, building a comprehensive medical brain, and providing ...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/20G16H10/60G06F16/36G06F21/62G06K9/62G06N3/04G06N3/08
CPCG16H50/30G16H50/20G16H10/60G06F16/367G06F21/6254G06N3/049G06N3/08G06N3/045G06F18/24
Inventor 颜泽龙王健宗吴天博程宁
Owner PING AN TECH (SHENZHEN) CO LTD
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