Research on the Application of Health Big Data based on Semi-Supervised Learning Algorithm

The role of health big data in medical health is very important, but there is the problem of inaccurate data. Traditional methods cannot solve the problem of health big data in medical health, and the results are not satisfactory. Therefore, this paper proposes a semi-supervised learning algorithm for health big data analysis. With the rapid development of information technology, especially the combination of artificial intelligence and big data analysis technology, the medical and health field is undergoing a revolutionary change. Among them, semi-supervised learning, as a machine learning method that can effectively utilize a large amount of unlabeled data, provides a new solution for healthy big data analysis. The purpose of this paper is to discuss the research progress of semi-supervised learning algorithm in the application of health big data, and analyze its impact on future medical and health services.