Intelligent recommendation system for patient rehabilitation

The paper describes an intelligent recommendation system for restoring and training the human respiratory system using individually selected special exercises and increasing motivation when performing them. Personal recommendations for the exercises’ composition are formed on the basis of interactive intellectual analysis of video information about a person’s physical activity, taking into account his/her experience. Machine learning models and methods are used to select exercises and evaluate the effectiveness of their implementation. The results of testing the recommendation system are presented.