MEDICAL FIELD INTENTION RECOGNITION METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM

A medical field intention recognition method, apparatus, and device, and a storage medium, which are applied to the field of smart medical treatment, and which are used for accurately recognizing the medical field intention of a user, and improving the accuracy of intention recognition in the medical field. The method comprises: acquiring initial text data, the initial text data comprising a question sentence and/or a question word inputted by a target user (101); calling a preset joint model to rewrite the initial text data to generate a target question statement, wherein the target question statement is a sentence that has an explicit meaning and no redundancy (102); performing feature extraction on the target question statement according to a preset medical proprietary feature lexicon to obtain a plurality of target features, a plurality of target feature weights, and a plurality of pieces of target structured information (103); and calling a preset deep learning model, the plurality of target feature weig