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Disease prediction method and device, terminal and storage medium

A prediction method and disease technology, applied in the computer field, can solve problems such as inability to diagnose sick users, inability of sick users to see a doctor in time, and high time and labor costs, so as to save time and labor costs, improve efficiency, and reduce technical difficulty Effect

Active Publication Date: 2019-02-12
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, the doctor selected by the sick user may not be able to diagnose the sick user, which may require the sick user to re-select the department and the doctor for registration
It can be seen that in the process of seeing a doctor for a sick user, the sick user may repeatedly perform operations such as registration and medical treatment due to unclear illness, resulting in the sick user not being able to see a doctor in time, and the time cost and labor cost are high

Method used

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  • Disease prediction method and device, terminal and storage medium
  • Disease prediction method and device, terminal and storage medium
  • Disease prediction method and device, terminal and storage medium

Examples

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Embodiment Construction

[0031] In the embodiment of the present invention, the smart terminal (referred to as the terminal) can provide a disease prediction function for the user to be detected. When the user to be detected feels unwell, the disease prediction function in the terminal can be turned on. At this time, the terminal can Guide the user to be detected to input a description of physical discomfort, such as Figure 1a shown. After the terminal obtains the relevant description input by the user to be detected, it can determine the disease description information of the user to be detected according to the relevant description, predict the disease information of the user to be detected according to the disease description information, and push the predicted disease information to the user to be detected ,like Figure 1b As shown, the predicted disease information includes the name of the disease that the user to be detected may suffer from. The user to be tested can choose the appropriate doc...

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Abstract

The invention discloses a disease prediction method and device, a terminal and a storage medium. The method comprises steps that the disease description information of a to-be-detected user in a userinterface is obtained, and a target disease vector is generated according to the disease description information; a matched disease vector is screened from a disease vector set, the matched disease vector refers to a disease vector which is included in the disease vector set and matches the target disease vector; the disease information of the to-be-detected user is predicted according to the matched disease vector; the disease information of the to-be-detected user can be better predicted.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a disease prediction method, device, terminal and storage medium. Background technique [0002] At present, when a sick user feels unwell but does not know the condition, he usually blindly chooses a department and a doctor for registration. In this case, it may happen that the doctor selected by the sick user cannot diagnose the sick user, so the sick user may need to re-select a department and a doctor for registration. It can be seen that in the process of seeing a doctor for a sick user, due to unclear conditions, the sick user may repeatedly register for medical treatment and other operations, resulting in the sick user not being able to see a doctor in time, and the time cost and labor cost are high. [0003] Therefore, if it is possible to analyze and predict the disease of the sick user before the sick user sees a doctor, the sick user can correctly choose the ...

Claims

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Application Information

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IPC IPC(8): G16H50/20
CPCG16H50/20
Inventor 苏丽娟陈志刚王万新赵京伟郑会丽唐晓昱杨奕凡
Owner TENCENT TECH (SHENZHEN) CO LTD
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