Knowledge input and calculation system based on distributed micro-service and logical reasoning

Abstract

The invention discloses a knowledge input and calculation system based on distributed micro-service and logical reasoning. The knowledge input and calculation system comprises the step of creating a decision flow. Different term tags are connected through logic operators and or, and a tree-shaped logic decision flow is formed through combination; when complex operation exists in the decision flow, a mode is created through function operation, and then the mode is connected to the decision tree; in the process of creating the decision flow, uploading test data to check the rule of the current decision flow; when the decision flow rule is basically edited, creating a version for the current decision flow; then batch data testing is conducted on the decision stream version, and when the decision stream meets the high success rate after multiple times of testing, the version is released; after the version is released, the version release details can be checked on the version management page, interface testing is carried out on the successfully released version, and the version can be used after being successfully tested; and if the decision flow needs to be updated, directly editing and submitting on the basis of the original decision flow, and then creating a new version for publishing.

Description

Technical field [0001] The present invention relates to the field of knowledge entry and calculation technologies, and specific to knowledge entry and computing systems based on distributed micro-service and logic reasoning. [0002] technical background [0003] In recent years, my country's medical resources are in a state of inquiishing. The doctors from the Big City Tree Hospital have to face a cumbersome outpatient or surgery every day. At the same time, some doctors also need to do more research-related work for medical development. However, in the daily work of the doctor, a large part of the work is cumbersome but it is easy to use IT system to improve efficiency, such as the management of medical terms, medical knowledge collection, and more. Most of the medical knowledge is in order to perform daily diagnosis and treatment in accordance with certain gold standards or guidelines. Therefore, helping doctors are liberated from cumbersome knowledge update, and the knowledge ...

AI Technical Summary

Problems solved by technology

[0006] 2. The update of some clinical guidelines will require doctors to spend a lot of time to read, understand and implement, but the content of the clinical guidelines itself is easy to express using established knowledge or reasoning rules

[0007] 3. In the follow-up process, in order to make it easier for patients to understand the problem, doctors often design questions based on the data to be collected and make a follow-up scale for patients to fill in, but the conversion of answers into data and statistical results still needs to be handled by the doctor himself , often these conversion methods are based on the statistics of fixed rules

On the other hand, because the traditional business system needs to code the core business logic before putting it into use, this method lacks a certain degree of flexibility, and the established logic cannot be applied to flexible and changeable business scenarios

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