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Medical model training method and apparatus, medical identification method and apparatus, equipment and medium

A technology of model training and identification methods, applied in the field of data identification, can solve problems such as dependence, lack of professional knowledge in user queries, and medical data without a complete system, and achieve high accuracy

Inactive Publication Date: 2018-08-28
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a medical model training method to solve the problem that the identification of the current disease is usually determined by the doctor according to the patient's symptoms, which needs to rely on the doctor's expertise and experience, and it is impossible for the user to keep abreast of his own health status according to his own symptoms The problem
[0004] The embodiment of the present invention provides a medical identification method to solve the problem that the medical data such as symptoms, diseases and treatments provided in the current medical website do not form a complete system, and the user does not have enough professional knowledge when querying, and cannot timely understand according to his own symptoms own health issues

Method used

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  • Medical model training method and apparatus, medical identification method and apparatus, equipment and medium
  • Medical model training method and apparatus, medical identification method and apparatus, equipment and medium
  • Medical model training method and apparatus, medical identification method and apparatus, equipment and medium

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Embodiment 1

[0038] figure 1 A flow chart of the medical model training method in this embodiment is shown. The medical model training method can quickly collect a large amount of medical data from the network, so as to perform medical model training based on the collected medical data. The medical model training method can be specifically applied in the data management system of the medical knowledge base management system, which is used to identify the symptom characteristics input by the user, and recommend a list of suspected disease characteristics for the user, which can effectively increase the accuracy of recognition. Such as figure 1 As shown, the medical model training method includes the following steps:

[0039] S11: Obtain target medical data.

[0040] Among them, the target medical data is the data used for model training. The target medical data includes, but is not limited to, medical data such as symptom characteristics and disease characteristics in this embodiment. ...

Embodiment 2

[0096] Figure 6 A functional block diagram of a medical model training device corresponding to the medical model training method in Embodiment 1 is shown. Such as Figure 6As shown, the medical model training device includes a target medical data acquisition module 11 , a target medical data division module 12 , an original medical model acquisition module 13 and a target medical model acquisition module 14 . Wherein, the implementation functions of the target medical data acquisition module 11, the target medical data division module 12, the original medical model acquisition module 13 and the target medical model acquisition module 14 correspond to the corresponding steps of the medical model training method in the embodiment, in order to avoid repeating , which will not be described in detail in this embodiment.

[0097] The target medical data acquisition module 11 is used to acquire the target medical data.

[0098] The target medical data division module 12 is config...

Embodiment 3

[0120] Figure 7 A flow chart of the medical identification method in this embodiment is shown. The medical identification method can be applied to terminal devices of medical institutions or other institutions, so as to identify symptom characteristics and achieve the effect of intelligent identification of diseases. Such as Figure 7 As shown, the medical identification method includes the following steps:

[0121] S21: Obtain the user's medical data to be tested, where the medical data to be tested includes at least one symptom characteristic.

[0122] Wherein, the medical data to be tested refers to the medical data selected by the user for identifying the probability of the target medical feature. In this embodiment, the medical data to be tested includes at least one symptom feature, such as runny nose, body temperature, blood pressure and other symptom features.

[0123] S22: Input at least one symptom feature into the target medical model for identification, and ob...

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Abstract

The invention discloses a medical model training method and apparatus, a medical identification method and apparatus, equipment and a medium. The medical model training method comprises: acquiring target medical data; dividing the target medical data according to a preset ratio to obtain a training set and a test set; training a long-time and short-time memory network model by using the target medical data in the training set to obtain an original medical model; and testing the original medical model with the target medical data in the test set to obtain a target medical model. With the medical model training method, a problem that the user can not obtain own healthy information based on the own disease situation because of full dependence on doctors for current disease identification canbe solved; and the accuracy of the disease recognition is improved.

Description

technical field [0001] The present invention relates to the field of data identification, in particular to a medical model training method, medical identification method, device, equipment and medium. Background technique [0002] The identification of the current disease is usually determined by the doctor based on the patient's symptoms, which needs to rely on the doctor's professionalism and experience, and it is impossible for users to know their own health status in a timely manner according to their own symptoms. Since the identification of current diseases is mainly diagnosed by doctors, the general user will only realize when the condition is serious, and then go to a medical institution for treatment, which may delay the condition. The medical data such as symptoms, diseases and treatments provided on the current medical website has not formed a complete system, and users do not have enough professional knowledge when querying, and cannot keep abreast of their own h...

Claims

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Application Information

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IPC IPC(8): G16H50/70G06F17/30G06K9/62
CPCG06F16/35G06F16/951G06F18/24
Inventor 鲁宁周凡程诚
Owner PING AN TECH (SHENZHEN) CO LTD
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