An embodiment of the present invention includes an input part for obtaining input biosignal data that is the object of delirium determination; a processor for determining delirium information corresponding to the input biosignal data using a delirium discrimination model; and an output part for outputting the determined delirium information. The delirium discrimination model is a neural network trained by using data suitable for learning among learning biosignal data including biosignals collected from a plurality of patients and delirium state information corresponding to each of the biosignals based on machine learning. It is possible to determine the state of the delirium or delirium experience.
APPARATUS FOR DISCRIMINATING DELIRIUM AND METHOD FOR THE SAME