Infusion dripping-speed determining method and system based on neural network

Abstract

The invention discloses a infusion dripping-speed determining method based on a neural network. The method includes the steps of reading existing illness case information in an illness case base, and building a neural network model; detecting physical conditions of a patient who needs infusion at present; inputting the detected physical conditions of the patient and the types of demanded infusion drugs into the neural network model to obtain a theoretical infusion speed value; according to the infusion speed outputted by the neural network model, controlling the actual infusion speed value during the infusion process. According to the infusion dripping-speed determining method, by utilizing multiple pieces of existing illness case information in the illness case base to build the integral neural network model, the neural network model can calculate the optimal theoretical infusion speed value according to the physical conditions of the patient and the types of the demanded infusion drugs, and medical staff can control the actual infusion speed value according to the calculated theoretical infusion speed value to achieve the optimal infusion effect and treatment effect of the patient.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, more specifically to a neural network-based method and system for determining the infusion drip rate. Background technique [0002] Nowadays, with the rapid development of electronic technology, computer technology and network information technology, it also drives the development of clinical medicine. With the development of the times, hospitals are required to realize informationization, automation and intelligent construction. However, judging from the current situation in our country, the development of smart medical equipment and technology in our country still cannot meet the needs of patients, families and all aspects of society. [0003] In medical technology, there is an operation called intravenous infusion, which is the main infusion method at present. Intravenous infusion is not only a very important means of curing diseases, but also a means of supplementing nutr...

AI Technical Summary

Problems solved by technology

However, judging from the current situation in our country, the development of smart medical equipment and technology in our country still cannot meet the needs of patients, families and all aspects of society.

[0003] In medical technology, there is an operation called intravenous infusion, which is the main infusion method at present. Intravenous infusion is not only a very important means of curing diseases, but also a means of supplementing nutrition to the human body, and the infusion speed is during the infusion process. The most important parameter is the factor that affects the performance of the drug. It is generally determined by the medical staff based on the patient's condition, age and the type of drug. Therefore, the medical staff who are not very experienced in clinical practice cannot accurately grasp the infusion speed. If the infusion speed is too fast, the patient will feel uncomfortable or if the infusion speed is too slow, it will affect the therapeutic effect

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