A monitoring system for abnormal blood sugar intelligent cognition

Abstract

The invention provides a monitoring system for intelligent cognition of abnormal blood sugar. It includes: a data acquisition module for collecting blood sugar information data; a blood sugar judgment module for setting a safe blood sugar data range, judging the collected blood sugar information data according to the safe blood sugar data range, and determining abnormal blood sugar information data; building a neural network model The module is used to establish a neural network model, store and update the corresponding knowledge of blood sugar according to the neural network model, and establish a blood sugar symptom table; the diagnosis report generation module is used to generate a corresponding diagnosis report table according to the blood sugar symptom table; the early warning module is used for Set the blood glucose data threshold, and send early warning information to the user when the blood glucose information data is greater than the blood glucose data threshold. The invention updates the knowledge related to blood sugar symptoms through the neural network model, and calculates the blood sugar data through an algorithm, so as to accurately judge the user's blood sugar and give the latest diagnosis report.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a monitoring system for intelligent cognition of abnormal blood sugar. Background technique [0002] Diabetes is an embarrassing disease, but as long as the blood sugar is well controlled, it is not a big problem. The key to the treatment of diabetes is how to control blood sugar reasonably, and the first step to control blood sugar reasonably is to understand the regularity of blood sugar changes. Therefore, a blood glucose meter has become an indispensable blood glucose monitoring tool for diabetics. [0003] Traditional blood glucose meters are difficult to realize cognition, analysis, prediction and judgment due to factors such as complex operation, static and fragmented data, and vulnerability to environmental interference. The electronic blood glucose meter that has emerged in recent years has attracted the attention of consumers due to its intelligence, dynamic data mo...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention proposes a monitoring system for intelligent cognition of abnormal blood sugar, aiming to solve the problem that the existing technology cannot achieve real intelligent analysis of data of different blood sugar states by establishing a neural network and a naive Bayesian algorithm. Technical Issues of Forecasting and Judgment

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