Risk population prediction method, device, terminal equipment and storage medium

A prediction method and technology of a prediction device, applied to computer-readable storage media, risk group prediction devices, and risk group prediction fields, can solve the problems of low accuracy of high-risk groups and difficulty in reminding high-risk groups, etc. Achieve the effect of enhancing classification performance and improving accuracy

Pending Publication Date: 2021-09-24
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are endless studies on the prediction models of cancer risk groups, but most of the pr

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Risk population prediction method, device, terminal equipment and storage medium
  • Risk population prediction method, device, terminal equipment and storage medium
  • Risk population prediction method, device, terminal equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0031] In order to make the purpose, technical solutions and advantages of the present application, the present application will be described in further detail below with reference to the accompanying drawings and examples. It will be appreciated that the specific embodiments described herein are intended to explain the present application and is not intended to limit the present application.

[0032] The prediction method of the risk population according to the embodiments of the present application can be executed by a terminal device, such as a laptop, a super mobile personal computer (UMPC), a netbook or Personal Digital Assistant, PDA.

[0033] The prediction method of the risk group involved in the embodiments of the present application is applied to smart medical scenarios, thereby promoting the construction of smart cities.

[0034] See figure 1 , figure 1 A implementation flow chart showing a prediction method of a risk group provided by the present application embodiment...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a risk population prediction method, a device, terminal equipment and a storage medium. The prediction method comprises the following steps: acquiring to-be-detected data, wherein the to-be-detected data is gene expression profile data of a to-be-detected user; and inputting the to-be-tested data into a trained multi-task prediction model for prediction to obtain a prediction result, the prediction result being used for indicating the probability that the to-be-tested user belongs to the risk population. According to the method, the to-be-tested data is predicted through the trained multi-task model, so that the accuracy of a prediction result of cancer risk people is improved. In addition, the invention also relates to a block chain technology.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method for predicting risk groups, a device for predicting risk groups, terminal equipment, and a computer-readable storage medium. Background technique [0002] Cancer is an aggressive disease that can be lengthy and costly to treat, but most treatments only increase the time a patient survives from diagnosis to death. Diseases all pay attention to "early detection and early treatment", and cancer is no exception. Among them, the prediction of cancer risk population is an important means, which can provide effective information and assist doctors in diagnosis. [0003] At present, there are endless researches on the prediction models of cancer risk groups, but most of the prediction models have low accuracy in predicting high-risk groups, and it is difficult to remind high-risk groups. Contents of the invention [0004] In view of this, the em...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16B25/10G16B40/00G16B5/00
CPCG16B25/10G16B40/00G16B5/00
Inventor 袁东昇胡意仪阮晓雯
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products