The invention relates to an AI auxiliary diagnosis method and device based on
text processing, equipment and a medium. The method comprises the following steps: acquiring medical text data, constructing a
secure channel based on data characteristics to generate a data load,
processing the data load through an
encryption algorithm, sending the data load to a target interface, and analyzing response data to obtain an original medical text set; cleaning the original set by adopting a multilayer regular filtering
system of a
text processing engine, inputting a semantic analysis model to calculate a feature association value, generating a semantic classification tag when the feature association value accords with a preset threshold value, constructing a classification index
database, and extracting potential
semantic association features to obtain an extended
semantic feature set; and finally, classifying and marking the extended
feature set, arranging and determining a content structure through a layered content organizer, and dynamically updating and generating a final output document. By adopting the method, the security of
data transmission and storage can be ensured, the
specialty of medical text cleaning and semantic analysis is improved, and automatic conversion from
semantics to document structures is realized.