To provide a method for predicting sleep apnea.SOLUTION: The present invention is a method for predicting sleep apnea from snoring by using machine learning using a neural network. The method includes: a) capturing an original signal; b) executing a snoring signal segmentation algorithm that retrieves at least one snoring signal from the original signal to segment the snoring signal and outputs a snoring signal vector with a one-dimensional feature vector; c) executing a feature extraction algorithm that extracts the snoring signal vector from the snoring signal feature and transforms the snoring signal vector into a snoring function matrix with a two-dimensional feature vector; and d) executing a neural network algorithm that classifies the snoring function matrix and, after the snoring function matrix undergoes classification learning, interprets the snoring signal to predict the number of times of sleep apnea and sleep hypopnea.SELECTED DRAWING: Figure 1
METHOD FOR PREDICTING SLEEP APNEA