Data selection method for diagnostic predictions

A technology for data selection and diagnosis data, applied in patient-specific data, electronic digital data processing, text database indexing, etc. The effect of avoiding tedious steps

Pending Publication Date: 2021-11-05
喀什地区第一人民医院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the diagnosis process, in order to ensure the accuracy of diagnosis, a large number of case models need to be imported into the database, and a large number of data models must be imported into the intelligent machine library for learning and programming before they can be used, which greatly improves the accuracy of diagnosis. Forecast costs and maintenance costs

Method used

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  • Data selection method for diagnostic predictions
  • Data selection method for diagnostic predictions
  • Data selection method for diagnostic predictions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Please refer to figure 1 , figure 2 and Figure 4 As shown, the data selection method for diagnostic prediction includes the following steps:

[0048] Step 1: Parse the electronic medical record and obtain text data.

[0049] Text data refers to the patient's complete diagnostic medical record data information in a specific department.

[0050] In this embodiment, when a patient needs to be diagnosed and predicted, the overall information of the relevant items in the electronic medical record can be extracted by inputting the electronic medical record number and selecting an extraction item.

[0051] Step 2, extracting medical record data and diagnosis data.

[0052]The medical record data includes the patient's gender, patient age and condition description information, and the diagnostic data refers to the patient's past diagnosis information in the specified department.

[0053] In this embodiment, in the extracted overall information of the electronic medical r...

Embodiment 2

[0075] On the basis of Example 1, please refer to image 3 As shown, the present invention also provides a data selection device for diagnosis prediction, including:

[0076] Request connection module 1, the request connection module 1 is used for initiating data connection request information to the medical record database.

[0077] Input module 11 , the input module 11 is used for inputting the electronic case code, and the search input module 11 is electrically connected with the request connection module 1 .

[0078] A search module 12, the search module 12 is used for detecting relevant instance cases in the medical record database, and the search and search module 12 is signally connected with the input module 11.

[0079] A display module 13, the display module 13 is used for converting the instance case data into image information display, and the display module 13 is connected with the search module 12 by signal.

[0080] The selection module 14 , the selection modu...

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Abstract

The invention relates to the technical field of data message distribution, in particular to a data selection method for diagnosis prediction. The method comprises the following steps: S1, analyzing an electronic medical record and obtaining text data; S2, extracting the medical record data and diagnosis data; S3, uploading the data to a medical record library, and searching for related data; S4, comparing the medical record data and the diagnosis data; S5, performing data similarity arrangement; S6, obtaining multiple sets of related diagnosis schemes, wherein the text data refer to complete diagnosis medical record data information of a patient in a special department. According to the method, the tedious steps of medical record modeling and machine learning are avoided, the implementation cost of a diagnosis prediction scheme is reduced, multiple diagnosis schemes are provided when doctors diagnose special medical records or medical records containing complications, the situation that the complex medical records are missed or mistakenly diagnosed is avoided, and meanwhile, the searched comparison medical records provide treatment methods and treatment effects of previous medical records for doctors, so that the doctors can conveniently treat patients after diagnosis and prediction.

Description

technical field [0001] The invention relates to the technical field of data selection for diagnostic prediction, in particular to a data selection method for diagnostic prediction. Background technique [0002] In the medical field, medical record diagnosis is the standard definition for determining a patient's illness, and is one of the important materials for hospital management, medical treatment, scientific research and teaching, and has important scientific value, especially with the reform and standardized management of the medical system, based on The classification of diseases diagnosed by medical records has become an important basis for cost accounting and payment. [0003] The Chinese patent application number is CN 108597614 A, which discloses a decision-making method for auxiliary diagnosis based on Chinese electronic medical records, including: first cleaning the disease and symptom information collected in Chinese electronic medical records, and then mining th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G06F16/31G06F16/33G06F40/205G06K9/62
CPCG16H10/60G06F40/205G06F16/31G06F16/3331G06F18/22
Inventor 邹小广李黎张文娟田序伟
Owner 喀什地区第一人民医院
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