Intelligent disease cognition system based on a uric acid value domain range

Abstract

The invention provides an intelligent disease cognition system based on a uric acid value domain range. The system comprises a data acquisition module used for acquiring uric acid data to be diagnosed, obtaining a uric acid standard index value range, processing the uric acid data to be diagnosed according to the uric acid standard index value range, and obtaining index data; a regression model module used for establishing a multivariate logistics regression algorithm, acquiring body data of the user to be diagnosed and calculating a probability value between the body data of the user to be diagnosed and the index data; a matching module used for establishing a regular expression and matching the index data, the probability value and the to-be-diagnosed user body data with the uric acid standard index value range and the corresponding disease information by utilizing the regular expression; and a diagnosis module used for generating a corresponding diagnosis report according to the matching result. According to the method, the multivariate logistic regression algorithm and the regular expression are established, so that the recognition of uric acid diseases is realized, and the cognitive rate and accuracy are improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent disease recognition system based on uric acid range. Background technique [0002] Uric acid is a heterocyclic compound containing carbon, nitrogen, oxygen, and hydrogen. Changes in the content of uric acid in body fluids can reflect the status of metabolism and immune function in the human body, as well as possible diseases and health problems. [0003] The existing uric acid determination methods mainly include phosphotungstic acid reduction method and uricase-peroxidase coupling method, etc. These methods are very complicated and cumbersome, and doctors need to judge the value after the value is obtained, and users have to wait for a long time , so there is an urgent need for an intelligent disease recognition system based on uric acid ranges, which can realize adaptive analysis and judgment of uric acid data, and at the same time recognize the diseases corre...

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Problems solved by technology

[0005] In view of this, the present invention proposes an intelligent disease recognition system based on uric acid value range, aiming to solve the problem that existing technologies cannot achieve disease recognition of uric acid data by introducing regular expressions on the basis of establishing a multivariate logistic regression model technical issues

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