Remote Monitoring Application in Treatment of Gynecological Inflammation Based on Association Rule Algorithm

Abstract

The storage center of the main data of the information system is called the database, and the database is often attacked. The traditional database security mechanism based on identity authentication and access control is a passive security mechanism that focuses on prevention, which cannot ensure the security of modern databases. This study analyzes the remote monitoring application in the treatment of gynecological inflammation based on the association rule algorithm. Medical remote monitoring can be realized through 5G technology, smart wearable devices, etc., and online HD consultation and medical image data synchronization can be realized through wired video. Based on the analysis of the unique query structure of the database, this study makes a comprehensive discussion on the theory and method of database anomaly detection technology and focuses on how to integrate data mining methods such as association rules and clustering into the database anomaly detection. The results show that the medical examination system in this study can effectively improve the medical level of gynecology, and has practical significance in the clinical practice of gynecological inflammation. With the development of 5G technology, there will be more remote monitoring medical equipment connected to the Internet, health information can be transmitted to professional health institutions, real-time monitoring of users’ physical health through big data, and timely provision of health guidance and early warning.