Construction of Perioperative Preoperative Evaluation Platform Based on Privacy Protection

The perioperative preoperative evaluation occupies an important guiding position in the perioperative process, but the data to be evaluated has the characteristics of clutter, inefficiency, and high redundancy, and the manual evaluation effect is difficult to guarantee. This article proposes the concept of constructing a regional perioperative pre-operative evaluation platform, collecting medical data in a certain spatial area, and using data mining technology to mine hidden associations in medical data to provide a reference for pre-operative evaluation. We propose a verification mining method based on the original frequent item mining technology, which greatly improves the mining speed. At the same time, to protect privacy, when publishing data in the FP-tree mode, we count the support of decision attributes and the order of item set. The experimental results show that while satisfying the privacy protection, it has high mining accuracy and has certain clinical feasibility.