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Chronic disease risk index assessment and intervention system based on mobile internet

A technology of mobile Internet and risk index, applied in the field of chronic disease risk index evaluation and intervention system, can solve the problems of lack of self-discipline, chronic disease dying for a long time, poor self-management compliance, etc., and achieve the effect of realizing intelligence

Active Publication Date: 2021-12-03
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of self-management, there are often problems of lack of self-discipline, that is, poor self-management compliance, which will also cause the phenomenon of "indulging oneself" in chronic diseases
[0004] However, most of the existing treatment methods are drug treatment, while ignoring the intervention treatment of other daily factors, such as: diet intervention treatment, exercise intervention treatment, etc. Many chronic diseases require daily prevention and treatment to achieve a good therapeutic effect, but In many cases, patients cannot intuitively understand the benefits to themselves, and also cause chronic diseases to die for a long time; or in the process of self-management, they do not know what disease status they are currently in, that is, they need to be able to evaluate chronic diseases and Such issues in the treatment of chronic disease intervention

Method used

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  • Chronic disease risk index assessment and intervention system based on mobile internet
  • Chronic disease risk index assessment and intervention system based on mobile internet
  • Chronic disease risk index assessment and intervention system based on mobile internet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] see figure 1 and figure 2 , a chronic disease risk index assessment and intervention system based on the mobile Internet, including user-end devices, management-end devices and a health data cloud platform.

[0053] The user terminal equipment includes a disease information module, an intervention record module and an adverse event report module.

[0054] The disease information module inputs the user's disease information and sends it to the health data cloud platform.

[0055] The disease information includes user case data and physical parameters. The physical parameters include height, weight, blood pressure, waist circumference, hip circumference, thigh circumference, blood routine, liver function, blood lipids, alpha-fetoprotein, three pairs of hepatitis B, liver fiber test, and blood sugar.

[0056] The intervention recording module receives and displays several user behavior intervention modules sent by the health data cloud platform. Each user behavior inter...

Embodiment 2

[0095] see figure 1 , a verification test of a chronic disease risk index assessment and intervention system based on the mobile Internet, specifically:

[0096] The patient-end user can upload his own disease status on the patient-end device 1d through the disease status module 11d, including: height, weight, blood pressure, waist circumference, hip circumference, thigh circumference, blood routine, liver function, blood lipids, alpha-fetoprotein, Three pairs of hepatitis B, liver fiber test, blood sugar;

[0097] The patient end user can record the user behavior record module 121d pushed by the self-assessment result in the intervention record module 12d, including diet intervention record, exercise intervention record, drinking intervention record, smoking intervention record, emotional intervention record, stress intervention record one or more Various; and the user behavior suggestion module 122d can receive and display the user behavior suggestions sent by the managemen...

Embodiment 3

[0109] see figure 1 , a verification test of a chronic disease risk index assessment and intervention system based on the mobile Internet, specifically:

[0110] Taking the fatty liver model as an example, obtain the disease status characteristic data information uploaded by the user to the health data cloud platform.

[0111] 1. Extract the disease status characteristics and intervention records in the built big data prediction platform, and determine several risk factors of chronic diseases through principal component analysis

[0112] For example: Zhang San, male, 28 years old, height: 175cm, weight 70Kg, BMI: 22.9Kg / m 2, systolic blood pressure: 134mmHg, diastolic blood pressure: 75mmhg, triglycerides: 1.27mmol / L, fasting blood sugar: 8.68mmol / L,..., LDL-C: 4.24mmol / L

[0113] 2. According to the information gain, the relevant results of each risk factor are obtained, and the correlation of the main risk factors of chronic diseases is obtained:

[0114]

[0115] 3. P...

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Abstract

The invention discloses a chronic disease risk index assessment and intervention system based on a mobile internet. The system comprises user side equipment, management side equipment and a health data cloud platform. According to the system and the method, the disease condition of a chronic disease patient is intelligently assessed by utilizing a mobile internet technology and chronic disease risk index assessment, the patient user knows the physical health condition of the patient user, and an intervention implementation module is intelligently pushed to the user according to a risk index assessment result, so that the user is helped to complete chronic disease self-management, and the intervention evaluation intelligence is realized.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a mobile Internet-based chronic disease risk index assessment and intervention system. Background technique [0002] Chronic disease is a general term for complex diseases that do not constitute infection, have a long course of disease, and are incurable. Once the prevention and treatment is not enough, it will cause economic and life harm to patients and their families. The base of patients with chronic diseases in my country is large, and it has shown a trend of excessive growth every year. The mortality rate caused by some chronic diseases is relatively high, and some patients with chronic diseases do not pay attention to their own illnesses, and their treatment compliance is poor. Therefore, how to effectively manage patients with chronic diseases and adopt reasonable intervention modules is already a very important issue. [0003] Among the chronic diseases, there are man...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H10/60
CPCG16H50/30G16H10/60
Inventor 皮喜田韩浩刘洪英
Owner CHONGQING UNIV
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