Data processing method for chronic disease detection based on computer prediction model

A predictive model and data processing technology, applied in computer-aided medical procedures, medical data mining, medical simulation, etc., can solve problems such as inability to predict hypertension and chronic diseases in time, lagging data updates, and inability to monitor user data for a long time

Pending Publication Date: 2019-10-01
天津市第四中心医院
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AI Technical Summary

Problems solved by technology

[0006] (1) The data obtained for hypertensive chronic diseases are too one-sided;
[0007] (2) It is impossible to monitor user data for a long time, resulting in lagging data updates;
[0008] (3) Hypertensive chronic diseases cannot be predicted in time

Method used

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  • Data processing method for chronic disease detection based on computer prediction model
  • Data processing method for chronic disease detection based on computer prediction model
  • Data processing method for chronic disease detection based on computer prediction model

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Embodiment Construction

[0080] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0081] The data obtained is too one-sided;

[0082] Unable to monitor user data for a long time, resulting in data update lagging behind;

[0083] Hypertensive chronic disease cannot be predicted in time.

[0084] In order to solve the above technical problems, the application principle of the present invention will be described in detail below in conjunction with specific solutions.

[0085] Such as figure 1 As shown, the computer-based predictive model data processing system used in the detection of chronic diseases provided by the embodiments of the present invention includes:

[0086] Data collection module 1, colle...

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Abstract

The invention belongs to the technical field of computer application, and discloses a data processing system and method for chronic disease detection based on a computer prediction model. The method comprises the steps: obtaining various types of data of a user, and transmitting the collected data through an Internet system; classifying and summarizing the received various data of the user, and transmitting the data through the Internet system; analyzing and predicting the data according to the computer prediction model, and transmitting a result to an output module. On the basis of the computer prediction model, the system completes the summarization, analysis, arrangement and prediction of various data of the user, so that the user can conveniently perform more effective self-supervisionmanagement and professionals can conveniently give more accurate health promotion suggestions by integrating the data, thereby effectively preventing hypertension chronic diseases; the prediction efficiency can be improved according to the hypertension chronic disease prediction value.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to a computer-based prediction model data processing system and method used in chronic disease detection. Background technique [0002] The full name of chronic disease is chronic non-communicable disease. It does not refer to a certain disease, but to a class of insidious onset, long course of disease and protracted disease, lack of definite evidence of infectious biological etiology, complex etiology, and some have not been fully recognized. A general term for a recognized disease. Common chronic diseases mainly include cardiovascular and cerebrovascular diseases, cancer, diabetes, and chronic respiratory diseases. Cardiovascular and cerebrovascular diseases include hypertension, stroke and coronary heart disease. [0003] Hypertension (hypertension) refers to an increase in systemic arterial blood pressure (systolic and / or diastolic) as the main feature...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H50/50
CPCG16H50/70G16H50/50
Inventor 方涛田凤石雒瑢李永辉
Owner 天津市第四中心医院
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