Plateau adaptability evaluation method and system

An evaluation system and adaptability technology, applied in the field of machine learning, which can solve the problem of inability to quickly and scientifically evaluate the fitness of plateau work

Inactive Publication Date: 2019-10-15
GENERAL HOSPITAL OF PLA +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this reason, the present invention adopts cluster analysis and DNN (Deep Neural Network) to carry out plateau vital sign health score prediction, aims to use multi-layer deep neural network to calculate and analyze according to the vital signs of medical examiners, and obtain a comprehensive The evaluation results solve the problem that it is impossible to quickly and scientifically evaluate personnel's adaptability to plateau work

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
  • Plateau adaptability evaluation method and system
  • Plateau adaptability evaluation method and system
  • Plateau adaptability evaluation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0047] In the description of this specification, descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the spe...

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 plateau adaptability evaluation method, and the method comprises the steps: building and verifying a deep neural network learning model of a plateau adaptability evaluation model through employing sample data and the experience knowledge of a doctor; using the physical examination data as input data, analyzing the input data through a learning model, and outputting the score of the plateau fitness. The problem that in the prior art, the adaptability of the personnel to plateau work cannot be rapidly and scientifically evaluated is solved.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a plateau adaptability evaluation method and system. Background technique [0002] With the development of computer hardware and big data technology, it has been able to provide high-performance large-scale distributed computing clusters, so that deep learning technology that requires high-intensity computing capabilities can be applied in enterprise business. [0003] At present, there is no method and system that can automatically evaluate the plateau fitness of personnel based on the results of physical examination. Now it is generally judged by doctors manually, which has a heavy workload and problems related to the professional level of doctors. [0004] Using the computing system based on deep learning technology and the physical examination sample data of personnel working in plateaus, the plateau fitness model can be trained, and the plateau fitness score of the ...

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): G16H50/30G06N3/08
CPCG06N3/08G16H50/30
Inventor 张诗慧何昆仑刘春祥穆欣阎岩赵晓静石金龙贾志龙贾倩
Owner GENERAL HOSPITAL OF PLA
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