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Disease classification method and device, equipment and storage medium

A disease classification and disease technology, applied in the field of medical information processing, can solve problems such as low efficiency, inaccurate disease classification, and subjectivity, and achieve the effect of accurate determination

Pending Publication Date: 2020-10-16
微医云(杭州)控股有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned method of selecting disease classification names based on patient case information is inefficient, and because it relies on the experience of doctors, it will be subjective, and the disease classification is not accurate enough

Method used

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  • Disease classification method and device, equipment and storage medium
  • Disease classification method and device, equipment and storage medium
  • Disease classification method and device, equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0025] figure 1 It is a flow chart of the medical record classification method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the disease type of the case information is determined according to the medical record information. This method can be executed by the medical record classification device. The medical record classification device can Realized by software and / or hardware, the device for classifying medical records can be configured on a computing device, specifically including the following steps:

[0026] S110. Obtain a numerical vector of the case information of the target object to be classified.

[0027] Exemplarily, the target object may be a target corresponding to the medical record information to be classified, for example, it may be a person or an animal. The case information can be the description information of the target object's condition. For example, a patient is not feeling well and goes to the ho...

Embodiment 2

[0045] figure 2 It is a flow chart of the disease classification method provided by Embodiment 2 of the present invention. The embodiment of the present invention can be combined with various alternatives in the foregoing embodiments. In the embodiment of the present invention, optionally, the training method of any one of the first disease classification model and the second disease classification model includes: based on the information of each historical case, determining the A numerical vector of information; based on the numerical vector of each of the historical case information, determine a training sample of any one of the first disease classification model and the second disease classification model; based on the training sample and the training sample For the corresponding disease type, iterative training is performed on any one of the first disease classification model and the second disease classification model.

[0046] Such as figure 2 As shown, the method of...

Embodiment 3

[0073] image 3 The flow chart of the disease classification method provided by Embodiment 3 of the present invention, such as image 3 As shown, the device includes: a case information acquisition module 31 , a disease type classification module 32 and a target disease type determination module 33 .

[0074] Wherein, the case information obtaining module 31 is used to obtain the numerical vector of the case information of the target object to be classified;

[0075] The disease type classification module 32 is used to input the numerical vectors of the case information into the trained first disease classification model and the second disease classification model respectively to obtain the first disease classification probability that the case information belongs to each disease type and the second disease classification probability, wherein, the first disease classification model is obtained by training based on a plurality of unstandardized historical medical record sample...

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Abstract

The embodiment of the invention discloses a disease classification method and device, equipment and a storage medium. The method comprises the steps of obtaining a numerical vector of case informationof a to-be-classified target object; respectively inputting the numerical vectors of the case information into a trained first disease classification model and a trained second disease classificationmodel, and obtaining a first disease classification probability and a second disease classification probability that the case information belongs to each disease type, wherein the first disease classification model is obtained by training based on a plurality of non-standardized historical case history sample data and the second disease classification model is obtained by training based on a plurality of structured historical case sample data; and determining a target disease type of the case information of the target object based on the first disease classification probability and the seconddisease classification probability that the case information belongs to each disease type. Therefore, the effect of quickly and accurately determining the disease type of the patient according to themedical record information is achieved.

Description

technical field [0001] Embodiments of the present invention relate to medical information processing technology, and in particular to a disease classification method, device, equipment and storage medium. Background technique [0002] At this stage, after doctors diagnose patients' diseases during the consultation process, they usually choose the names of disease classifications based on the doctor's experience. [0003] The above-mentioned method of selecting a disease classification name based on the patient's case information is inefficient, and because it relies on the doctor's experience, it will be subjective, and the disease classification is not accurate enough. Contents of the invention [0004] Embodiments of the present invention provide a disease classification method, device, equipment, and storage medium to achieve the effect of quickly and accurately determining the type of disease based on medical record information. [0005] In a first aspect, an embodime...

Claims

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Application Information

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IPC IPC(8): G16H50/70G06K9/62G06N3/04
CPCG16H50/70G06N3/045G06F18/2415
Inventor 许红伟方成饶官军柴鹏飞吴边洪叶恩孟海忠任宇翔冯辉
Owner 微医云(杭州)控股有限公司
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