Health risk early warning management system based on multi-source data and deep learning

A deep learning and risk early warning technology, applied in the computer field, can solve the problem that the evaluation method cannot play the role of early warning, and achieve the effect of accurate early warning and accurate analysis results.

Pending Publication Date: 2022-06-07
CENT SOUTH UNIV
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  • Claims
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Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a health risk early warning management system based on multi-source data and deep learning, aiming to solve the problem that the existing evaluatio

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  • Health risk early warning management system based on multi-source data and deep learning
  • Health risk early warning management system based on multi-source data and deep learning
  • Health risk early warning management system based on multi-source data and deep learning

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Embodiment Construction

[0054] In order to make the object of the present invention, the technical solution and advantages more clearly understood, the following in conjunction with the accompanying drawings and embodiments, the present invention will be further elaborated in detail. It should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to qualify the present invention.

[0055] It will be appreciated that the terms "first", "second" and the like used in the present application may be used herein to describe various elements, but unless otherwise specified, these elements are not subject to these terms. These terms are used only to distinguish the first component from another. For example, without departing from the scope of the present application, the first xx script may be referred to as a second xx script, and similarly, the second xx script may be referred to as the first xx script.

[0056] Multi-source data fusi...

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Abstract

The invention is suitable for the technical field of computers, and particularly relates to a health risk early warning management system based on multi-source data and deep learning, and the method comprises the steps: obtaining user identity information and user medical information; analyzing the identity information of the user, and collecting information of the user according to the position information to obtain life state information of the user; generating a body state report according to the user medical information, and generating a working state report according to the working information; and processing the body state report, the working state report and the user living state information by using a deep learning model to generate risk early warning information. Multi-source information collection is carried out on the working state, the living state and the environment state of the user to form related data exclusive to individuals, comprehensive analysis is carried out on the health condition of the user according to the related data, the deep learning model is adopted for data processing in the analysis process, the analysis result of the deep learning model is more accurate along with increase of the number of the users, and the user experience is improved. And the early warning of the health risk is more accurate.

Description

Technical field [0001] The present invention belongs to the field of computer technology, in particular to a health risk early warning management system based on multi-source data and deep learning. Background [0002] Deep learning is the intrinsic regularity and level of representation of learning sample data, and the information obtained during these learning processes is of great help in the interpretation of data such as words, images, and sounds. Its ultimate goal is to enable machines to be as analytical and learning-like as humans, able to recognize data such as words, images and sounds. Deep learning is a complex machine learning algorithm that achieves much more effectiveness in speech and image recognition than previous related technologies. [0003] Multi-source data fusion technology refers to the use of relevant means to integrate all the information obtained from the survey and analysis, and conduct a unified evaluation of the information, and finally obtain a unif...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/063114G06Q10/0635G06Q10/06395G06Q50/06Y02A20/152
Inventor 曹霞
Owner CENT SOUTH UNIV
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