Abstract: A method, apparatus and device for quality control and storage media relate to the field of artificial intelligence technology, particularly to the field of natural language understanding and knowledge graphs, which may be applied in the medical field. The method includes: acquiring text information to be detected and domain of the text information; acquiring preset questions and machine reading comprehension model according to the domain; inputting the questions and the text information into the machine reading comprehension model to obtain extracted answers; outputting quality control information in response to the answers being not empty.

Abstract: A method and apparatus for detecting a medical conflict, an electronic device, and a storage medium are provided. A specific implementation solution includes: acquiring a medical quality control requirement of a user, and converting the medical quality control requirement into structured data corresponding thereto; detecting, through a pre-established rule-based reasoning network, whether medical entities in the structured data meet detection conditions corresponding to a leaf node, with each field in the structured data as a medical entity; in response to the medical entities in the structured data meeting the detection conditions corresponding to the leaf node, determining that the medical quality control requirement hits the leaf node; and pushing medical conflict information corresponding to the leaf node to the user.