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

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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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Example Embodiment

[0037] Example 1

[0038] figure 1 A flowchart 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 a medical knowledge base management system, a data management system, for identifying symptom characteristics input by a user, recommending a list of suspected disease characteristics for the user, which can effectively increase the accuracy of identification. like 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. In t...

Example Embodiment

[0095] Example 2

[0096] Image 6 A principle block diagram of a medical model training apparatus corresponding to the medical model training method in Embodiment 1 is shown. like Image 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 . Among them, the realization 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 are in one-to-one correspondence with the corresponding steps of the medical model training method in the embodiment, so as to avoid repeated descriptions. , and are not described in detail in this embodiment.

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

[0098] The targe...

Example Embodiment

[0119] Example 3

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

[0121] S21: Acquire the medical data to be tested of the user, where the medical data to be tested includes at least one symptom feature.

[0122] 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 a 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, ...

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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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