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Man-machine collaborative health case matching method based on chronic disease big data and system thereof

A human-machine collaboration and case technology, applied in the field of data processing, can solve problems such as inaccurate matching results, and achieve the scientific effect of solving inaccurate matching results, scientific and accurate recommendation results, and human-computer collaboration health case matching technology

Active Publication Date: 2021-09-03
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the existing technology, the present invention provides a human-computer collaborative health case matching method and system based on chronic disease big data, which solves the problem of inaccurate matching results in health case matching in the prior art

Method used

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  • Man-machine collaborative health case matching method based on chronic disease big data and system thereof
  • Man-machine collaborative health case matching method based on chronic disease big data and system thereof
  • Man-machine collaborative health case matching method based on chronic disease big data and system thereof

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Embodiment 1

[0053] In the first aspect, the present invention firstly proposes a human-computer collaborative health case matching method based on chronic disease big data, which includes:

[0054] S1. Obtain multi-modal time-series medical and health data based on multiple channels;

[0055] S2. Preprocessing the time-series medical and health data, and determining the characteristics of the data in combination with the doctor's annotation;

[0056] S3. Extract key features based on the data features, and build a health case knowledge base in combination with guidelines, standard procedures, classic cases and doctor expert knowledge;

[0057] S4. Based on the multimodal fusion method, the multimodal data features are fused to obtain the user's health evaluation index;

[0058] S5. Obtain the eigenvalue sequence similarity between the current case and the eigenvalue sequence of the classic case in the above-mentioned health case knowledge base based on the feature similarity calculation ...

Embodiment 2

[0086] In the second aspect, the present invention also proposes a human-computer collaborative health case matching system based on chronic disease big data, see Figure 4 , the system consists of:

[0087] The data acquisition module is used to acquire multi-modal time-series medical and health data based on multiple channels;

[0088]The data preprocessing module is used to preprocess the time-series medical and health data, and determine the data characteristics in combination with the doctor's annotation;

[0089] The case knowledge base construction module is used to extract key features based on the data features, and combine guidelines, standard procedures, classic cases and doctor expert knowledge to construct a health case knowledge base;

[0090] The health evaluation module is used to use the multi-modal fusion method to fuse the multi-modal data features to obtain the user's health evaluation index;

[0091] The eigenvalue sequence similarity calculation module ...

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Abstract

The invention provides a man-machine collaborative health case matching method based on chronic disease big data and a system thereof, and relates to the technical field of data processing. The method comprises the following steps: firstly, fusing multi-channel and multi-modal dynamic time sequence medical health data of a user, carrying out feature extraction on the dynamic time sequence medical health data, selecting features in combination with expert knowledge of doctors, fusing data features from different modalities, distributing weights to feature indexes, performing linear weighting by combining the normalized features of the preprocessing module to obtain a health evaluation index, and obtaining the feature value sequence similarity of the feature value sequence of the current case and the feature value sequence of the classic case in the health case knowledge base by using a feature similarity calculation algorithm; and finally, according to the health evaluation index and the feature value sequence similarity, generating a health recommendation scheme for the user in a personalized manner. According to the technical scheme, the problem of inaccurate matching result of health case matching in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a human-computer collaborative health case matching method and system based on chronic disease big data. Background technique [0002] As my country's population is aging, the prevention and treatment of chronic diseases has become a major social problem in my country in the new era. At the same time, the further advancement of medical informatization has gradually increased the scale of medical information resources, resulting in massive medical and health data; and the continuous advancement of natural language processing technology, image and audio and video processing technology, and multi-modal data fusion technology The development provides technical support for the fusion of multi-channel and multi-modal medical and health data. How to make full use of these resources to provide personalized health evaluation methods for chronic disease users has become a future r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/20G16H50/70G06F16/903
CPCG16H50/30G16H50/20G16H50/70G06F16/903
Inventor 顾天阳
Owner BEIJING UNIV OF POSTS & TELECOMM
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