Construction of Rehabilitation Training Platform Based on Data Fusion and Neural Network Algorithms

With the development of science and technology, medical technology is also constantly improving, and people are paying more and more attention to health. Rehabilitation training is an essential means to improve human physiological functions, psychological quality, and quality of life. However, there is an issue of information asymmetry in the process of rehabilitation training. In order to improve the service quality of the platform for patients, family members, and community residents, this article applies data fusion to the construction of the rehabilitation training platform using neural network algorithms. By analyzing the functional requirements of the rehabilitation training platform, it points out the construction plan of the rehabilitation training platform, analyzes the application of data fusion and neural network, as well as the task planning of the rehabilitation training platform, and summarizes the overall plan of the rehabilitation training platform. Through experimental testing on rehabilitation patients, it was found that the rehabilitation training platform based on data fusion and neural network algorithms can effectively improve the patient’s physical condition, mental health level, and rehabilitation effect, with a comprehensive test score increase of 0.6 points. Data fusion and neural network algorithms can effectively optimize rehabilitation training platforms, helping patients better perform rehabilitation training.