This invention provides a method, apparatus, device, and medium for medical
feature selection, relating to the field of medical
data processing technology. It addresses the technical problem of insufficient accuracy in selecting optimal feature subsets. The method comprises: constructing an improved aurora optimization
algorithm that includes an archive-driven
population evolution strategy and a
directional selection mechanism based on a reference feature subset. The former uses a search mode with the
centroid of failed archives as the reference feature subset in the early stages of iteration, guiding the
population away from the
centroid of failed archives to avoid inferior feature regions; in the later stages of iteration, it uses a search mode with the
centroid of successful archives as the reference feature subset, guiding the
population to converge towards the centroid of successful archives. The latter constructs a directional update
direction vector based on the difference between the reference feature subset selected by the archive-driven
population evolution strategy and the current feature subset, guiding the directional update of the feature subset. This can select the optimal feature subset that better meets the
data analysis needs of the target medical dataset.