Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure Diagrams

Introduction

The relationships involved between hospital sets and hospital technology sets include the association between hospitals and hospitals, the inclusion relationship between hospitals and medical technologies, and the association between medical technologies and medical technologies. Different medical technology sets are directly related to the medical services that different hospitals can provide, and the size of the medical technology set that a hospital owns is closely related to the comprehensiveness of the hospital’s treatment capabilities (Xu, 2013). In addition, there may be concomitant relationships between medical technologies, and certain medical technologies can significantly mark certain hospitals. The partially ordered structure diagram is a good data analysis tool for visualizing the connections and rules embedded in the data (Fan et al., 2013).

In reality, everything possesses multiple characteristics. Attributes are generalized expressions of characteristics, which can focus on the features of things. The commonality and individuality of attributes are the connections that commonly exist between things. Commonality is the phenomenon that the same attribute is possessed by most things, and it reflects the law that things exist universally. Individuality is the phenomenon that things have certain properties alone, which reflects the special characteristics of individual things that distinguish them from other things. The process of recognizing things is the process of recognizing the commonality of things to recognizing the individuality of things, which represents a top-down hierarchy, and this hierarchy can be represented by the attribute partially ordered structure diagram. The attribute partially ordered structure diagram (APOSD) can clearly reflect the hierarchical relationship between attributes, and this hierarchical relationship represents the common attributes and individual attributes of things, which is a good knowledge representation method. The knowledge discovery process based on a partially ordered structure diagram is shown in Figure 1.

The matrix formed with attributes and objects as rows and columns of the matrix is called the formal context, and the APOSD is constructed based on the formal context. The visual structure it presents is a closed tree diagram structure, where each node in the diagram represents an attribute. There are two special nodes in the diagram, which are located at the topmost and bottommost levels of the diagram. The top-level node represents the attributes owned by most objects in the object set, and the bottom-level node represents the full set of attributes (corresponding to the empty object set). Nodes closer to the top level indicate that the attribute represented by the node is owned by more objects, which means that the attribute better reflects the commonality of the objects; on the contrary, nodes closer to the bottom level indicate that the attribute represented by the node is owned by fewer objects, which means that the attribute better reflects the individuality of the objects. Each path from the topmost node of the APOSD to the bottommost node represents an object, and each node on the path belongs to the attribute of that object.

Figure 1.

Knowledge discovery process