Analysis of health informatics and bioinformatics connectivity modeling

Abstract

Health informatics and bioinformatics are closely linked, but the overlapping literature search rate of the analysis methods needs to be higher due to the connectivity analysis model. Therefore, health informatics and bioinformatics connectivity modeling analysis are proposed. The analysis is conducted for health informatics and bioinformatics disciplines, and a reasonable design of citation measures is designed. The first step in describing the connection between the two disciplines using citation analysis is to extract multidimensional descriptive vectors for the disciplines as a basis for connectivity analysis. The network routing technique serves as the foundation of the connectivity analysis model, which is used to identify the connectivity of disciplines by identifying citation overlapping between them. Finally, the co-occurrence analysis output of the knowledge structure between disciplines is used to explain the connectedness. The research findings show that the suggested method outperforms the traditional connection modelling analysis method in terms of completion rate by 36.6% and 39.2%, indicating that the proposed method provides more thorough connectivity analysis results.