A method and device for building an Alzheimer's disease detection model. The method comprises: acquiring multiple sample speech segments of sample users and an Alzheimer's disease detection result for each of the sample users, each of the multiple sample speech segments comprising an oral description of a sample image provided by the sample user, and the Alzheimer's disease detection result comprising a positive result or a negative result (S110); performing feature extraction on each sample speech segment to obtain an audio feature thereof (S120); and building an Alzheimer's disease detection model according to the audio features of the sample speech segments, the Alzheimer's disease detection results of the sample users and a convolutional neural network model, wherein the Alzheimer's disease detection model indicates a mapping relationship between audio features and an Alzheimer's disease detection result (S130).
METHOD AND DEVICE FOR BUILDING ALZHEIMER'S DISEASE DETECTION MODEL