Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and device for optimizing disease risk estimation network, medium and equipment

A disease risk and optimization method technology, which is applied in the field of disease risk estimation network optimization, can solve the problems of low accuracy of the estimation model and inconsistency of patients' conditions, and achieve the goal of improving judgment accuracy, high precision, and high training efficiency Effect

Pending Publication Date: 2022-07-12
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

However, the existing similar patient estimation models have low accuracy, and their estimation results are often inconsistent with the patient's condition.

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
  • Method and device for optimizing disease risk estimation network, medium and equipment
  • Method and device for optimizing disease risk estimation network, medium and equipment
  • Method and device for optimizing disease risk estimation network, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] Hereinafter, the present application will be described in detail with reference to the accompanying drawings and in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.

[0052] The embodiments of this application provide a blockchain-based decentralized adaptive collaborative training method, which can be applied to electronic devices with the ability to run instructions or programs, wherein the electronic devices can be, but are not limited to, various personal computers, notebooks Computers, smartphones, tablets, and portable wearables can also be implemented with stand-alone servers or server clusters consisting of multiple servers. The present invention will be described in detail below through specific embodiments.

[0053] see figure 1 shown, figure 1 A schematic flowchart of a method for optimizing a disease risk esti...

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 discloses a disease risk estimation network optimization method and system, a storage medium and computer equipment. The method comprises the following steps: acquiring a patient sample library; randomly selecting at least three patient samples from a patient sample library; the sample information of the at least three patient samples is input into a preset neural network in pairs, the first distance between every two patient samples is calculated through the neural network, and the neural network is used for estimating the disease risk of the patient; calculating a loss value of the neural network according to the first distance; writing the loss value into a loss value list, and judging whether the loss value list meets a preset convergence condition or not; and if the loss value list does not meet the preset convergence condition, adjusting parameters of the neural network according to the loss value, and returning to the step of randomly selecting at least three patient samples from the patient sample library until the loss value list meets the preset convergence condition. According to the method provided by the invention, the accuracy of the neural network for disease risk estimation is improved.

Description

technical field [0001] The present application relates to the field of smart medical technology, and in particular, to an optimization method, device, medium and device for a disease risk estimation network. Background technique [0002] With the rise of artificial intelligence technology, its application scenarios have become more and more abundant, and it can support functions such as auxiliary disease diagnosis, health management, and remote consultation. In the process of diagnosing a patient's disease, artificial intelligence technology can be used to determine whether the patient is a high-risk group of the disease, and then provide a reference for the doctor's diagnosis to improve the efficiency and accuracy of the doctor's diagnosis. However, the existing similar patient estimation models have low accuracy, and their estimation results often do not match the patient's condition. SUMMARY OF THE INVENTION [0003] In view of this, the present application provides an...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G16H70/40G06N3/04
CPCG16H50/20G16H50/70G16H70/40G06N3/04Y02A90/10
Inventor 徐卓扬赵婷婷胡岗孙行智赵越
Owner PING AN TECH (SHENZHEN) CO LTD