Health knowledge recommendation system based on human body physiological data and running method thereof

A technology of human physiology and recommendation system, applied in the fields of information computing and data processing, it can solve problems such as difficult knowledge recommendation for users, achieve scientific and accurate health knowledge and strategy recommendation, enrich case base, and improve accuracy.

Active Publication Date: 2019-11-05
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, with a large amount of health knowledge and prescription recommendations, it is difficult for users to scientifically choose knowledge recommendations that suit them

Method used

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  • Health knowledge recommendation system based on human body physiological data and running method thereof
  • Health knowledge recommendation system based on human body physiological data and running method thereof
  • Health knowledge recommendation system based on human body physiological data and running method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038]A health knowledge recommendation system based on human physiological data, including a database module, a data preprocessing module, a classification diagnosis module, a knowledge recommendation module, and a front-end interaction module, such as figure 1 shown.

[0039] The database module includes personal basic information database, knowledge case database, and real-time detection database; the personal basic information database is used to store user basic data, physiological data and historical judgment results, and user basic data includes name, gender, age, special circumstances (whether Congenital diseases, mobility, etc.), physiological data include blood pressure, blood oxygen, chest pain type, maximum heart rate, diabetes type, body temperature, height, weight; the knowledge case library is used to store the knowledge recommendation content of each user and the recommended Update the data and store it according to the judgment type. For example, type A users ...

Embodiment 2

[0045] A health knowledge recommendation system based on human physiological data, its composition structure is as described in embodiment 1, the difference is that the health knowledge recommendation system based on human physiological data also includes a danger warning module, which is used to receive real-time monitoring Data and predict the body temperature, heart rate, and blood pressure at the next moment, and send an early warning through the front-end interactive module when it exceeds the set normal range.

[0046] The human body wearable monitoring device monitors body temperature, heart rate and blood pressure in real time, and the real-time monitoring data is wirelessly transmitted to the data processing end, that is, the PC or mobile phone mobile end through Bluetooth. Values ​​are supplemented, and the processed data is used to predict the body temperature, heart rate and blood pressure at the next moment through the trained neural network. When it exceeds the se...

Embodiment 3

[0048] A method of operating the health knowledge recommendation system based on human physiological data described in embodiment 2, the specific steps of the method are as follows:

[0049] Step 1: The user inputs basic user data and physiological data through the interactive interface, the basic user data is stored in the personal basic information database, and the physiological data is stored in the physiological database to prepare for the data preprocessing module.

[0050] Step 2: The data preprocessing module reads the user's basic data, physiological data and historical judgment results, firstly processes missing values, abnormal values ​​and duplicate records, and finally normalizes continuous variables and vectorizes discrete data.

[0051] For the processing of missing values, the missing data in the physiological database is supplemented with the mean value of five adjacent records, and the missing data in the knowledge case database is supplemented with the optima...

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PUM

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Abstract

The invention relates to a health knowledge recommendation system based on human body physiological data and a running method thereof, and belongs to the technical field of information computing and data processing. The system comprises a database module, a data preprocessing module, a classification and diagnosis module, a knowledge recommendation module and a front-end interaction module. Real-time monitoring data, a preliminary prediction judgment result, the physiological data and a historical judgment result are integrated to dynamically judge the health status of people, and the accuracyof the judgment result is improved; cases similar to a user can be found in a large number of cases, and thus more scientific and accurate health knowledge and strategy recommendation can be provided; the user selects the most appropriate knowledge and strategy and notes reasons for the selection, at the same time, a new case record is generated and stored in a case library, the case library is enriched, and thus the recommendation is more and more accurate.

Description

technical field [0001] The invention relates to a health knowledge recommendation system based on human physiological data and an operating method thereof, belonging to the technical field of information calculation and data processing. Background technique [0002] With the development of technology and the improvement of people's material living standards, people are more and more concerned about their physical condition. In addition to seeing a doctor for a physical examination, you should also pay attention to it in your daily life. With the continuous maturity of big data and medical digital systems, personal basic information, medical conditions and physiological data are completely stored in the database, and these data provide a data basis for the diagnosis of human health. In addition, with a large amount of health knowledge and prescription recommendations, it is difficult for users to scientifically choose knowledge recommendations that suit them. How to accurat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H20/00G16H20/60
CPCG16H50/30G16H20/00G16H20/60
Inventor 季伟卢文朔
Owner SHANDONG UNIV
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