Decision result determining method, device and equipment and readable storage medium

Abstract

The application provides a decision result determining method, device and equipment and a readable storage medium. The method includes the following steps: acquiring at least two candidate answers corresponding to a target question in a target scene; retrieving evidence corpus related to the combination of each candidate answer and the target question in a corpus corresponding to the target scene;acquiring the matching features of the candidate answers and the target problem according to the inclusion of the words of the candidate answers and the target problem in the evidence corpus; and determining a matching answer to the target question from the candidate answers according to the matching features of each candidate answer and the target problem. According to the scheme of the invention, a decision is made directly based on a corpus corresponding to the target scene from the perspective of natural language understanding and reasoning, there is no need for experts to construct and update the relationship between questions and answers in the knowledge base or to summarize reasoning rules. The cost is saved. Moreover, it is ensured that there is no rule conflict in the decision-making process, and the determined decision result is more reliable.

Description

Technical field [0001] This application relates to the field of natural language processing technology, and more specifically, to a method, device, device, and readable storage medium for determining a decision result. Background technique [0002] Although my country's medical industry has developed rapidly in recent years, it still cannot fully meet the huge medical needs of the people. Therefore, the current national policy strongly supports the development of primary medical care. As for the development of primary care, the core is to improve the level of diagnosis and treatment of primary doctors. [0003] Clinical Decision Support System (CDSS) is a computer-assisted application system for doctors' diagnosis and treatment. It stores and uses a large amount of medical knowledge. According to the patient's basic information, condition information, etc. Auxiliary and prompts to help doctors complete the diagnosis and treatment more reasonably and efficiently, and improve the ov...

AI Technical Summary

Problems solved by technology

[0006] The inventors of this case found that the existing clinical decision support system has certain shortcomings, such as the construction and update of the knowledge base requires a large number of manual input from medical experts, and the cost is relatively high

Moreover, due to the complexity of medical knowledge, it is not easy to summarize these knowledge and express them as inference rules that can be used for logical reasoning, and it requires a lot of expert input

And because a lot of medical knowledge and experience are vague, it is not easy to express it as a rule

And, when the rules reach a certain number, there may be logical conflicts

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