Community health centers are uniquely positioned to address disparities in colorectal cancer (CRC) screening as they have addressed other disparities. In 2012, the federal Health Resources and Services Administration, which is the funding agency for the health center program, added a requirement that health centers report CRC screening rates as a standard performance measure. These annually rep...

Abstract Anomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact pairs, anomalies are observed when pattern interactions deviates from patterns considered regular. Properly defining what regular entail relies on developing expressive models for describing interactions. It crucial to address anomaly networks. Among many well-...

The evolution of the Web has promoted a growing interest in social network analysis, such as community detection. Among many different community detection approaches, there are two kinds that we want to address: one considers the graph structure of the network (topology-based community detection approach); the other one takes the textual information of the network nodes into consideration (topi...

background plasmid-mediated quinolone resistance genes (pmqr) have been shown to play not only an important role in quinolone resistance, but also resistance to other antibiotics, particularly β-lactams and aminoglycosides. these genes are mainly associated with clinical isolates of enterobacteriaceae. however, detection of pmqr genes in the community isolates can increase the dissemination rat...

Community detection is an important method for analyzing community structure of real-world networks. Most of the existing hierarchical agglomeration community detection algorithms have either high computational complexity or unsatisfied community detection results. In this contribution, we present a new hierarchical agglomeration community detection algorithm, called Community Detection Algorit...