Medical field intention recognition method, device and equipment and storage medium

The invention relates to the field of artificial intelligence, discloses a medical field intention identification method, device and equipment and a storage medium, is applied to the field of smart medical treatment, and is used for accurately identifying the medical field intention of a user and improving the accuracy of medical field intention identification. The method comprises the steps of obtaining initial text data, wherein the initial text data comprises question sentences and/or question words input by a target user; calling a preset joint model to rewrite the initial text data to generate a target question statement which is a sentence with clear semantics and no redundancy; performing feature extraction on the target question statement based on a preset medical proprietary feature word bank to obtain a plurality of target features, a plurality of target feature weights and a plurality of target structural information; and calling a preset deep learning model, the plurality of target feature weights