Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data model-based syndrome early warning method and device, medium and equipment

A data model and syndrome technology, applied in the field of syndrome early warning device, syndrome early warning method, computer readable storage medium, and electronic equipment based on data model, can solve the problems of low efficiency of syndrome early warning and the like

Active Publication Date: 2021-05-11
YIDU CLOUD (BEIJING) TECH CO LTD
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to provide a method for early warning of syndromes based on a data model, a device for early warning of syndromes based on a data model, a computer-readable storage medium, and an electronic device, so as to overcome the limitations and defects of related technologies at least to a certain extent. Low early warning efficiency of syndromes

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
  • Data model-based syndrome early warning method and device, medium and equipment
  • Data model-based syndrome early warning method and device, medium and equipment
  • Data model-based syndrome early warning method and device, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solutions have not been shown or desc...

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 relates to a syndrome early warning method and device based on a data model, a medium and equipment, and relates to the technical field of medical big data processing. The method comprises the steps: obtaining original medical data, and calculating the number of target patients with the same syndrome case in the original medical data through a syndrome monitoring model; when it is determined that the number of the target patients is larger than a first preset threshold value, extracting attribute information of the target patients with the same syndrome case, and generating a group set according to the attribute information of the target patients; according to the attribute information and a multi-dimensional space-time relation calculation model, calculating a space-time relation graph of the target patients included in the group set; and finally, calculating the number of the to-be-predicted objects and the infection probability of the to-be-predicted objects included in the time-space relation graph, and performing early warning on the syndrome according to the number of the target patients, the number of the to-be-predicted objects and the infection probability of the to-be-predicted objects. The method and device can increase the early warning efficiency.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of medical big data processing, and in particular, relate to a method for early warning of syndromes based on a data model, a device for early warning of syndromes based on a data model, a computer-readable storage medium, and electronic equipment. Background technique [0002] Syndrome monitoring refers to the continuous and systematic collection and analysis of data on the frequency of clinical syndromes of specific diseases, and timely detection of abnormal aggregation of diseases in time and space distribution, in order to conduct early detection, early warning and rapid monitoring of outbreaks of diseases or adverse health events. Methods for monitoring reactions. [0003] In the current syndrome monitoring method, based on laboratory examination or clinical characteristics, doctors first conduct case diagnosis, and then report through the manual direct reporting system. And other...

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): G16H50/70G16H50/80
CPCG16H50/70G16H50/80
Inventor 崔恒夫肖玉王尧王星培刘婷婷
Owner YIDU CLOUD (BEIJING) TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products