Physical sign parameter model construction method and physical sign parameter evaluation method

Abstract

The invention relates to a physical sign parameter model construction method. The physical sign parameter model construction method comprises the steps of: acquiring continuous multi-dimensional physical sign parameters of a participating tester; establishing a distribution function of the multi-dimensional physical sign parameters corresponding to a feedback result of the participating tester onphysical condition indexes; obtaining a partial derivative of the distribution function, and establishing a probability density function corresponding to the feedback result, of physical sign parameters in each dimension, wherein the probability density function includes a first probability density function in which the feedback result corresponding to the physical sign parameters in each dimension is that the physical condition index is higher than an expected value, and a second probability density function lower than the expected value; obtaining an intersection point between the first probability density function and the second probability density function and dividing distribution intervals of the physical sign parameters; establishing a corresponding relation between the distributionintervals of the physical sign parameters and the feedback result that the physical condition index is higher than and lower than the expected value. The physical sign parameter model construction method can continuously monitor multi-dimensional physical sign parameters and is high in overall precision.

Description

technical field [0001] The invention relates to the technical field of medical electronic data processing, in particular to a method for constructing a model of a sign parameter and a method for evaluating a sign parameter. Background technique [0002] With the rapid development of social informatization, mobile health and medical electronic technology has broad prospects. The rapid development of mobile Internet and big data provides the necessary conditions for the development of mobile medical care. [0003] In modern society, diseases involving cardiovascular and cerebrovascular systems, nervous system, and some chronic diseases usually show a certain regularity in the physical parameters of patients' daily life. However, the existing data processing methods for physical parameters are only for a single dimension. It is not comprehensive enough to process the physical sign parameters; the processed physical sign parameters are discrete, not continuous, resulting in low...

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Problems solved by technology

[0003] In modern society, diseases involving cardiovascular and cerebrovascular systems, nervous system and some chronic diseases usually show certain regularity in the daily life sign parameters of patients. However, the existing data processing methods for sign parameters are only for a single dimension It is not comprehensive enough to process the sign parameters; the processed sign parameters are discrete, not continuous, resulting in low processing accuracy

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