Background: Quantitative EEG analysis incorporating the use of normative or reference database comparison has developed from being primarily a research tool into an increasingly widely used method for clinical neurophysiological evaluation. Method: A survey of several of the most widely used qEEG databases as well as issues surrounding the construction and use of these databases is presented, c...

1. The National Institute of Statistical Sciences has recently assembled a team of statistical researchers from multiple universities who, working with statisticians in U.S. statistical agencies, are developing a Webbased query system for statistical databases. Their goal is a system that allows the use of disclosure limitation methods (e.g., see Willenborg and de Waal 1996; 2000) applied seque...

Data mining is the method of finding the useful information in huge data repositories. Clustering is the significant task of the data mining. It is an unsupervised learning task. Similar data items are grouped together to form clusters. These days the clustering plays a major role in every day-to-day application. In this paper, the field of KDD i.e. Knowledge Discovery in Databases, Data mining...

In the past decades, clustering has been widely used in areas such as pattern recognition, data analysis, and image processing. Recently, clustering has been recognized as a useful method for knowledge discovery in spatial databases. To eeciently detect clusters from large spatial databases with limited amount of available memory, special database techniques have been developed. In this article...

BACKGROUND It is generally believed that exhaustive searches of bibliographic databases are needed for systematic reviews of health care interventions. The CENTRAL database of controlled trials (RCTs) has been built up by exhaustive searching. The CONSORT statement aims to encourage better reporting, and hence indexing, of RCTs. Our aim was to assess whether developments in the CENTRAL database...

Automatic indexing is one of the important technologies used for Textual Data Analysis applications. Standard document indexing techniques usually identify the most relevant keywords in the documents. This paper presents an alternative approach that aims at performing document indexing by associating concepts with the document to index instead of extracting keywords out of it. The concepts are ...

Several technical, social, and biological networks were recently found to demonstrate scale-free and small-world behavior instead of random graph characteristics. In this work, the topology of protein domain networks generated with data from the ProDom, Pfam, and Prosite domain databases was studied. It was found that these networks exhibited small-world and scale-free topologies with a high de...

This paper presents a method for analyzing time-series laboratory examination databases. The key concept of this method is classification of temporal patterns using multiscale structure matching and a rough set-based clustering method. Multiscale matching enables us to capture similarity between two sequences of examinations from both short-term and long-term points of view. The rough-set based...

Objective To evaluate effectiveness of physiotherapy management in patients experiencing whiplash associated disorder II, on clinically relevant outcomes in the short and longer term. Design Systematic review and meta-analysis. Two reviewers independently searched information sources, assessed studies for inclusion, evaluated risk of bias and extracted data. A third reviewer mediated disagreem...

High throughput sequencing (HTS) has rapidly become the de facto tool for characterizing microbial community structure in a wide variety of habitats (Caporaso et al., 2011; Peay et al., 2016; Truong et al., 2017). Accompanying the expanding use of HTS to quantify microbial diversity is the need to delineate species, the ecological unit traditionally used to compare the richness and composition ...