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Disease prediction method and device, electronic equipment and storage medium

A prediction method and disease technology, applied in the field of digital medicine, can solve the problems of large population flow, personnel cluster infection, and inability to maximize the use of epidemic prevention and control work, so as to improve the accuracy, improve the accuracy of entity recognition, and improve the classification The effect of accuracy

Pending Publication Date: 2022-03-22
深圳平安智慧医健科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, private medical institutions, such as outpatient departments and clinics, live in a crowded environment with a large population flow; many patients have similar symptoms most of the time, and most patients basically go to private outpatient clinics to do simple disease descriptions and ask outpatient staff at the beginning. Finally, just take a medicine and it’s over; if there is an epidemic disease, it may lead to clustered infections among local personnel, and it will not be possible to maximize the role of various medical institutions to normalize the epidemic prevention and control work
[0003] The traditional clinic service platform has not yet integrated the epidemic prevention and control: the traditional clinic service platform is generally used for the daily business of the clinic, and realizes the integrated process of registration, billing and charging. Predicting Epidemic Diseases

Method used

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  • Disease prediction method and device, electronic equipment and storage medium
  • Disease prediction method and device, electronic equipment and storage medium
  • Disease prediction method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] figure 1 It is a flow chart of the disease prediction method provided in Embodiment 1 of the present invention. The disease prediction method specifically includes the following steps. According to different requirements, the order of the steps in the flow chart can be changed, and some of them can be omitted.

[0067] S11, receiving the medical records reported by the medical institutions, and extracting target medical data from the medical records.

[0068] When a patient goes to a medical institution for treatment, the doctor of the medical institution writes the patient's medical record through the medical terminal, and the medical terminal reports the medical record to the regulatory agency in real time. Medical records refer to medical texts that include patient description information and medical description information. Patient description information refers to the relevant description of the patient's own information, which can specifically include patient id...

Embodiment 2

[0152] figure 2 It is a structural diagram of the disease prediction device provided in Embodiment 2 of the present invention.

[0153] In some embodiments, the disease prediction device 20 may include a plurality of functional modules composed of computer program segments. The computer program of each program segment in the disease prediction device 20 can be stored in the memory of the electronic device, and executed by at least one processor to execute (see for details figure 1 Description) function of disease prediction.

[0154] In this embodiment, the disease prediction device 20 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a receiving module 201 , an identification module 202 , a classification module 203 and a prediction module 204 . The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can compl...

Embodiment 3

[0240] This embodiment provides a computer-readable storage medium, and a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps in the above embodiments of the disease prediction method are implemented, for example figure 1 S11-S14 shown:

[0241] S11, receiving medical records reported by medical institutions, and extracting target medical data from the medical records;

[0242] S12. Identify trusted keywords and untrusted keywords in the target medical data, use a preset first entity recognition model to identify the entity of the trusted keyword, and use a preset second entity recognition model to identify the entity Entities with untrusted keywords;

[0243] S13. Classify the target medical data based on the matrix rank constraint and the entity to obtain multiple types of target medical data;

[0244] S14, perform disease category prediction on each type of the target medical data, and obtain ...

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Abstract

The invention relates to the technical field of digital medical treatment, and provides a disease prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: extracting target medical data from a medical record on the basis of real-time collection of the medical record, then recognizing credible keywords and uncredible keywords in the target medical data, and carrying out the recognition of the credible keywords and uncredible keywords in the target medical data; therefore, the entities of the keywords are recognized by adopting different entity recognition models, the entity recognition accuracy of the keywords is improved, the classification accuracy of the target medical data is improved, after the entities of the keywords are obtained, the target medical data are classified based on the matrix rank constraint and the entities, multiple types of target medical data are obtained, and the classification efficiency of the target medical data is improved. Therefore, disease category prediction is carried out for each category of target medical data, a disease category prediction result is obtained, and the accuracy of disease category prediction is improved.

Description

technical field [0001] The present invention relates to the technical field of digital medical care, in particular to a disease prediction method, device, electronic equipment and storage medium. Background technique [0002] At present, private medical institutions, such as outpatient departments and clinics, live in a crowded environment with a large population flow; many patients have similar symptoms most of the time, and most patients basically go to private outpatient clinics to do simple disease descriptions and ask outpatient staff at the beginning. Finally, just take a medicine and it’s over; if there is an epidemic disease, it may lead to clustered infections among local personnel, and it will not be possible to maximize the role of various medical institutions to normalize the epidemic prevention and control work. [0003] The traditional clinic service platform has not yet integrated the epidemic prevention and control: the traditional clinic service platform is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06F16/332G06F16/35G06F16/36G16H10/60
CPCG16H50/30G16H10/60G06F16/367G06F16/35G06F16/3329
Inventor 陈朝海
Owner 深圳平安智慧医健科技有限公司
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