Human body system health risk prediction method based on meridian energy balance values

A technology of energy balance and risk prediction, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve problems such as not well unified knowledge, and achieve efficient prediction and concise and clear prediction results

Active Publication Date: 2019-02-26
YANSHAN UNIV
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However, at present, Chinese and Western theoretical knowledge have no

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  • Human body system health risk prediction method based on meridian energy balance values
  • Human body system health risk prediction method based on meridian energy balance values
  • Human body system health risk prediction method based on meridian energy balance values

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Embodiment Construction

[0043] Exemplary embodiments, features, and performance aspects of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] Such as figure 1 Shown, a kind of human body system health risk prediction method based on meridian energy balance value, it comprises the following steps:

[0045] S1. Establish a well-marked data set with balanced age and gender distribution, energy balance values ​​of twelve meridians and seven human body systems and health risk levels as a training sample set Φ; training sample set Φ={x 1 ,x 2 ,...,x n}, n is the number of samples in the training sample set Φ; sample x i Meridian Energy Balance Value Set BEV i The expression of is as follows:

[0046] BEV i =(BEV 0左 (x i ), BEV 0右 (x i ),...,BEV p左 (x i ), BEV p右 (x i ),...,BEV 11左 (x i ), BEV 11右 (x i ))

[0047] Among them, BEV p左 (x i ), BEV p右 (x i ) are samples x i The left value and the right value of the energy balance...

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Abstract

The invention relates to a human body system health risk prediction method based on meridian energy balance values, which comprises the following steps of: S1, establishing a data set with complete marks of age, sex distribution balance, twelve meridian energy balance values, seven human body systems and health risk levels, as a training sample set phi; S2, adopting a particle swarm optimization algorithm and the training sample set phi to determine a weight matrix W corresponding to the seven human systems and the twelve meridian energy balance values; S3, acquiring and analyzing the twelve meridian energy balance values of the testee to be used as an input sample Input; S4, normalizing all the twelve meridian energy balance values of all samples in the input sample Input and training sample set phi to form a new sample energy balance value set; S5, establishing a relation weight K-neighbor model for predicting the health risk of the human body system. Based on the twelve meridian energy balance values and the training sample set, the relation weight K-neighbor model is used to achieve non-invasive, early-stage and comprehensive health risk prediction for the human body system.

Description

technical field [0001] The invention belongs to the technical field of human health management, and relates to a method for predicting health risks of human body systems based on meridian energy balance values. Background technique [0002] The meridian is the running channel of "Qi and blood" in the human body, and it is the hub connecting various parts of the human body surface with internal organs. TCM meridian theory is one of the important contents of TCM theory. The use of meridians for disease diagnosis has a history of thousands of years in our country. As early as in "Su Wen", there is a record: "The way of the five internal organs all comes from the meridian tunnel to promote blood qi. If the blood qi is not in harmony, all diseases arise from changes." It fully reflects the relationship between the meridian and the five internal organs and the meridian These provide a good basis for meridian diagnosis. With the development of science and technology and the cont...

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Application Information

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IPC IPC(8): A61B5/053A61B5/00
CPCA61B5/053A61B5/7267
Inventor 李志明王晓妍王子璇石鹏王逢宝阎晨光孙艳
Owner YANSHAN UNIV
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