Research on Medical Information Processing Based on Data Mining Technology

Big data construction has become a national strategic policy, and medical big data related to human health is an important part of it. Data mining uses computers to extract useful information from massive, incomplete, noisy, fuzzy and random data. This paper introduces that data mining technology is divided into association classification rule technology, cluster analysis and rough set theory. As well as the feature pattern polymorphism, data fuzziness, data timing and data redundancy of medical data mining. Data mining architecture is composed of preprocessing module, mining process module, result evaluation module, knowledge guidance module and mining object management module. It is a system integrating information management, retrieval analysis and evaluation, and data warehouse. The application prospect of data mining in medical field is very broad. With the deepening of research, the value of data mining is constantly reflected, which can better serve the public health.