A medical entity relationship extraction method based on feature fusion
A technology of entity relationship and feature fusion, applied in special data processing applications, instruments, biological neural network models, etc., can solve the problems of ignoring the overall characteristics of sentences and missing important information, so as to reduce interference and improve accuracy
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[0026] Features and exemplary embodiments of various aspects of the invention will be described in detail below. The following description covers numerous specific details in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only to provide a clearer understanding of the present invention by showing examples of the present invention. The present invention is by no means limited to any specific configuration and algorithm presented below, but covers any modification, replacement and improvement of related elements, components and algorithms without departing from the spirit of the present invention.
[0027] Such as figure 1 As shown, the present invention provides a method for extracting medical entity relationship based on feature fusion, comprising the following steps: ...
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