An Innovation Development of Light Weight Deep Learning Algorithm for Smart Healthcare Neural Science Management

Abstract

Healthcare occupies a special place in the structure and complexity of economic relations, due to the objective features of the main object of medical activities - an individual. Of these aspects, the key is the pervasive uncertainty in all medical activities: the uncertainty of the dynamics of human health, and the uncertainty of the outcome of medical intervention. The most important issue in healthcare is the problem of the quality of medical care, which is difficult to overestimate because it is related to health, and sometimes human life. In this paper, the neural science-based light weight deep learning algorithm was proposed to manage healthcare issues. The quality problem can only be solved if the neural science management of the medical care system is optimal at all levels by using computational intelligence. In solving these problems, priority is given to the administrative staff of health institutions. The growth and development of neural science management are one of the key levers to improving the performance of its adaptive medical institutions in a particular situation.