A federated transfer learning-based neurodegenerative disease model building device and a related apparatus, pertaining to the technical field of artificial intelligence, and applicable to smart hospital systems. The device comprises: a data set acquisition unit (101) used to acquire a medical history data set A and a medical history data set B of type-I neurodegenerative disease patients; an intersection selection unit (102) used to select intersection data between the medical history data set A and the medical history data set B, and use the intersection data as training set samples; a model training unit (103) used to train an original neural network model on the basis of training set samples; and a federated transfer unit (104) used to perform federated transfer learning on the original neural network model on the basis of training set samples of multiple types of neurodegenerative diseases, so as to obtain a final neural network model of predicting progression of neurodegenerative disease patients. The invention solves the problem of isolated data islands in the model building process, and achieves effective prediction of disease progression of patients.
FEDERATED TRANSFER LEARNING-BASED NEURODEGENERATIVE DISEASE MODEL BUILDING DEVICE, AND RELATED APPARATUS