The invention discloses an abnormal
feature extraction method and device for
otology multi-mode data and a medium, and the method comprises the steps: carrying out the abnormal
feature extraction of the
otology multi-mode data of a user according to a comprehensive model, and obtaining the abnormal features of the
otology data; wherein the comprehensive model is obtained by training the initial model according to positive and
negative sample pairs and pseudo labels, and the positive and
negative sample pairs are generated by
pairing joint representation vectors of different users. According to the abnormal
feature extraction method and device for otology multi-
modal data and the medium, the combined representation vector is generated to integrate the image and the text data so as to break the
modal barrier, and the positive and
negative sample pairs and the pseudo labels are combined to
train the initial model, so that the obtained comprehensive model can master the multi-
modal association logic, and the accuracy of the abnormal feature extraction of the otology multi-
modal data is improved. The abnormal features can be directly and efficiently extracted, and the problems that the abnormal feature extraction efficiency is low and the
rapid processing requirement of the otology multi-
modal data is difficult to meet due to the lack of an analysis mechanism for efficiently integrating the otology multi-
modal data can be solved.