Hepatitis B patient diagnosis and treatment suggestion processing method and system based on rule engine and medium

Abstract

The invention discloses a hepatitis B patient diagnosis and treatment suggestion processing method and system based on a rule engine and a medium, and can be applied to the technical field of intelligent application. The method comprises the steps of obtaining diagnosis and treatment suggestion rules of hepatitis B pregnant women and infants based on expert knowledge and diagnosis and treatment specifications; creating a diagnosis and treatment suggestion rule engine of the hepatitis B pregnant woman and the infant based on an open source rule management system and accessory tools according to the diagnosis and treatment suggestion rule; controlling an application program to call the diagnosis and treatment suggestion rule engine through an application program interface of the open source rule management system; obtaining feedback information and the diagnosis and treatment guide of the application program. The diagnosis and treatment suggestion rules of the hepatitis B pregnant woman and the infant are created into the diagnosis and treatment suggestion rule engine capable of being called, so that when the application program updates or calls the diagnosis and treatment suggestions of the hepatitis B pregnant woman and the infant, other processes are not affected, the process of maintaining the diagnosis and treatment suggestions is simplified, and the updating cost of the diagnosis and treatment suggestion system is reduced.

Description

technical field [0001] The present invention relates to the technical field of intelligent applications, in particular to a rule engine-based method, system and medium for processing recommendations for diagnosis and treatment of hepatitis B patients. Background technique [0002] In related technologies, intelligent diagnosis and treatment suggestions are an important part of smart medical care. According to intelligent diagnosis and treatment suggestions, doctors and health workers can give comprehensive diagnosis and treatment suggestions according to the actual conditions of patients, avoiding misdiagnosis and missed diagnosis due to incomplete personal thinking and memory; patients can also use applications developed based on intelligent diagnosis and treatment suggestions The program obtains diagnosis and treatment suggestions in a timely and rapid manner to avoid delaying the condition. Existing diagnosis and treatment recommendation systems usually represent and sto...

AI Technical Summary

Problems solved by technology

Existing diagnosis and treatment recommendation systems usually represent and store diagnosis and treatment recommendations in a hard-coded manner, which has the following disadvantages: First, the cost of iteration and update of intelligent diagnosis and treatment recommendation rules is very high, and a small change to the rules requires complete development, testing, The whole process of deployment; secondly, intelligent diagnosis and treatment recommendation rules are usually given by medical experts based on their domain knowledge and practical experience, and the recommendations for diseases are usually complicated, which leads to a large scale of diagnosis and treatment recommendation rules, making maintenance of diagnosis and treatment recommendation rules easier. Third, from the perspective of information system development, the threshold for the development and maintenance of diagnosis and treatment recommendation rules is very high

When business analysts need to add and update, medical experts and business analysts usually cannot do it by themselves and need the intervention of IT professional developers

Images