A Prediction Method of Drug Regional Demand Based on Association Graph and Neural Network

Abstract

The invention discloses a method for predicting regional demand for medicines based on an association map and a neural network, which specifically includes the following steps: S1. Firstly, a sales information mining module and a sales information aggregation module are respectively established between the sales data association map library and the system management module. Class module, and then people can interact with the system management module through the user interaction unit, and people can control the sales information mining module through the system management module to mine the sales data information in the sales data association graph library; it relates to the technical field of drug sales. The method for predicting regional demand for medicines based on association graphs and neural networks has realized the use of spatial information and time information in the sales data of medicines to predict the future sales of medicines in the local medicine sales area, and has achieved the goal of grasping the sales volume of medicines. The regional characteristics of the network are used to obtain more accurate prediction results, which is very beneficial to the regional sales of drugs on the Internet.

Description

technical field [0001] The invention relates to the technical field of drug sales, in particular to a method for predicting regional demand for drugs based on an association map and a neural network. Background technique [0002] From the point of view of the object of use, the drug is used as the object of use to prevent, treat, and diagnose human diseases, regulate human physiological functions purposefully, and has prescribed indications, usage and dosage requirements; from the point of view of the method of use: except Appearance, patients cannot recognize its internal quality, many medicines need to be used under the guidance of doctors, not determined by patients' choice, and at the same time, various factors such as the method, quantity, and time of use of medicines determine their use effects to a large extent. Using it not only cannot "cure the disease", but may also "cause the disease", and even endanger life safety. Therefore, medicine is a special commodity. The...

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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a method for predicting regional demand for medicines based on correlation graphs and neural networks, which solves the problem that the existing medicines cannot realize the use of spatial information and Time information is used to predict the future sales of drugs in the local drug sales area, which cannot achieve the purpose of grasping the regional characteristics of drug sales to obtain more accurate prediction results, thus bringing great disadvantages to the regional sales of drugs on the Internet. question

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