Medicine classification method and device, computer equipment and storage medium

Abstract

The embodiment of the invention discloses a drug classification method and device, computer equipment and a storage medium. The method comprises the steps that target feature word vectors representingthe illness state of a user and using drugs are acquired according to case information of the user; inputting the target feature word vectors into a preset drug classification model, the drug classification model being an unsupervised training model for clustering by calculating distances between different feature word vectors; According to the clustering set of the used drugs output by the drugclassification model, performing classification annotation on the used drugs, the classification annotation being at least one high-frequency word in the clustering set of the used drugs. According tothe classification mode, the medicine classification efficiency can be improved, the corresponding relation between the medicine and the illness state can be further enhanced by adopting the case information, and the accuracy of the classification result is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of drug classification, in particular to a drug classification method, device, computer equipment and storage medium. Background technique [0002] Drug classification management is an internationally accepted management method. It divides drugs into prescription drugs and non-prescription drugs according to the principles of drug safety and effectiveness, and makes corresponding management regulations according to their varieties, specifications, indications, doses, and routes of administration. Its significance is to ensure the safety of people's medicines. [0003] In the prior art, the drug classification model mainly starts with a supervised model, for which a large amount of labor costs are required to label samples in the early stage. Manual labeling often has inaccurate labeling and incomplete classification. For this reason, a large amount of manpower is required to add and modify ...

AI Technical Summary

Problems solved by technology

Manual labeling often has inaccurate labeling and incomplete classification. For this reason, a large amount of manpower is required to add and modify categories and other maintenance operations

As a result, drug classification is time-consuming and labor-intensive, and the accuracy of classification is also low

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