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PubMed2003

[The software QSR Nvivo 2.0 in qualitative data analysis: a tool for health and human sciences researches].

The QSR Nvivo 2.0 is one of the latest versions of qualitative data analysis software package. Taking on board our experience as QSR Nvivo 2.0 users we describe here the software's most important tools. The QSR Nvivo 2.0 was used to facilitate the qualitative analysis of data gathered in a Health and Education research. Considering the shortage of published materials about the issue, which suggests a lack of knowledge about the program in our context, our aim is to show how the QSR Nvivo 2.0 can assist qualitative data analysis.

Data Collection↗
PubMed1995

Social science theory and methods in the study of alternative and complementary medicine.

Anthropology is a holistic science with theory, data, and methods that can be of great service to researchers on alternative medicine. In this paper useful models and methodologic stances were identified that can help researchers to deal creatively with the stresses imposed on science by worldview preferences that differ among both scientists and healthcare systems. I have argued that rather than prefer one paradigm over another, researchers should select techniques based on a rationale featuring deep knowledge of the context of the healthcare issue they want to study. This will not only produce the most accurate and useful data, but should also help free science of its current strictures and allow expansion into a wider conversation about human and medical realities.

Anthropology, Cultural↗
PubMedDate not supplied

The structure of medical informatics journal literature.

OBJECTIVE: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field. DESIGN: To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns. MEASUREMENTS: The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals. RESULTS: Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found. CONCLUSION: The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter.

Abstracting and Indexing↗
PubMed1979

Intensive care data--I: Computer controlled analysis.

A flexible, simple computer-controlled system for analysis of administrative and clinical data in intensive care is described. The system uses an interactive data input programme to facilitate data entry, an editor to correct errors, and the Statistical Package for the Social Sciences (SPSS) for data selection, retrieval and analysis. The system has the following features: data input is simple; large amounts of data can be handled rapidly and accurately; old data is readily available for comparison with new data and can be included in the present analysis; available statistical packages remove the need for a programmer; complex analyses are possible. The system has been successfully used for two years to provide administrative and clinical data which is pertinent to patient care.

Australia↗
PubMed1991

Science and social policy problems: resolution of some, creation of others.

The scientist has two jobs: to do good science, and to be a spokesperson for science in the creation of rational social policy. Three categories of interaction between science and policy are described and examples given. The first is where science has provided data that were decisive in causing policy to be enacted. The second is where science is capable of resolving equity issues that have arisen from problems that science itself created. The third is where the issues are ultimately resolved by extra-scientific considerations. Two major issues where it is hoped that science can make a significant contribution include outcomes analysis, a new approach to dealing with health care costs and variations in clinical practice; and the disease concept of alcoholism, with questions it raises of volition, personal responsibility, and punishment. However, science alone is never the dominant force in the shaping of policy, which is determined by the interaction of many social forces, such as morals, values, politics, and economics.

Adult↗
PubMedDate not supplied

Lotka's law and the pattern of scientific productivity in the dental science literature.

Statistical regularities can be observed in many natural and social phenomena. From empirical data on the authorship of scientific papers, Lotka deduced an inverse-square law: the number of authors publishing n papers is 1/n2 of those publishing one paper. The general type for the relation (1/n(c)) has a wide range of applicability to a variety of phenomena. This study examined, by means of bibliometric tools, whether Lotka's law could be applied to the literature of dental science. Data came from 20 leading dental science journals, as reported in Journal Citation Reports. The search was performed with a programme developed using Visual Basic for Applications, which counted the number of authors and analysed their contributions to the literature. Authorship for all contributions, as reported in Medline, was compiled for each of these 20 journals for the last 25 years, 1971 through 1995. The total number of authors was 43,796, responsible for 124,556 authorships. The journals published in countries other than the USA exhibited higher degrees of author concentration. The dental science literature conformed very well to Lotka's model with c = 1.95.

Authorship↗
PubMed1996

Antibiotic-resistant enterococci and the changing face of surgical infections.

BACKGROUND: Enterococci have not been thought to play an important role in intra-abdominal infections because of their relatively low virulence. However, this notion is changing because of the recent emergence of these microbes as significant nosocomial pathogens. OBJECTIVES: To review the mechanisms of antibiotic resistance of enterococci and to discuss the significance of multidrug-resistant enterococci in surgical infections. DATA SOURCES: Medical and basic science literature relating to enterococci. DATA SYNTHESIS: In addition to having intrinsic resistance to a number of antibiotics, enterococci have the ability to acquire resistant genes through the exchange of plasmids or transposons from other bacterial species. Moreover, enterococci have been shown to transmit these genes to other bacterial species in turn. The extensive resistance of these microorganisms has led to their emergence as significant nosocomial pathogens, ranking second only to Escherichia coli in the number of pathogenic isolates recovered from patients in intensive care units. There has also been a marked increase in vancomycin-resistant enterococcal infections in surgical patients in the last 5 years. Some studies associate the prior use of vancomycin or third-generation cephalosporins with the emergence of these strains. Overall, enterococcal infections are associated with increased morbidity and mortality. CONCLUSIONS: In view of the marked resistance of enterococci to antibiotics and their ability to disseminate resistance genes, these microbes have become important pathogens. Enterococci pose a threat to surgical patients, often causing significant therapeutic dilemmas.

Drug Resistance, Microbial↗
PubMed2005

Datamining methodology for LC-MALDI-MS based peptide profiling.

This report will provide a brief overview of the application of data mining in proteomic peptide profiling used for medical biomarker research. Mass spectrometry based profiling of peptides and proteins is frequently used to distinguish disease from non-disease groups and to monitor and predict drug effects. It has the promising potential to enter clinical laboratories as a general purpose diagnostic tool. Data mining methodologies support biomedical science to manage the vast data sets obtained from these instrumentations. Here we will review the typical workflow of peptide profiling, together with typical data mining methodology. Mass spectrometric experiments in peptidomics raise numerous questions in the fields of signal processing, statistics, experimental design and discriminant analysis.

Animals↗
PubMed1998

Functions of the prefrontal cortex in the human brain.

The prefrontal cortex of the human brain is affected by various pathological conditions, and for the apparent theoretical gains and clinical benefits, brain scientists and clinicians alike have for decades endeavored to understand the precise role of this region of the brain. Recent findings in electrophysiological and functional neuroimaging studies provide a better insight into the neuronal activities during various cognitive processes performed by the prefrontal cortex. Nevertheless, some of these findings are at odds with others, and the theorized roles of the prefrontal cortex remain largely under dispute. On the clinical side, a longer history of research provides a wealth of symptom descriptions on the multifaceted prefrontal dysfunction. In the midst of this abundance, however, there still exists a need for coherent categorization of these seemingly disparate symptoms. This task could be done based on the nature of affected cognitive processes and their putative neural substrates. With this view in mind, the present article selectively reviews major anatomical evidence and experimental data together with clinical observations on prefrontal patients in an attempt to integrate findings in science with behavioral data and ultimately to propose a model of functional organization within the prefrontal cortex.

Brain Diseases↗
PubMed2001

Triangulation using a meta-matrix.

BACKGROUND AND SIGNIFICANCE: Quantitative and qualitative data analysis are often undertaken as separate enterprises, as they emerge from differing philosophies of science and methodologies for data collection, management and analysis. Quantitative data analysis is sometimes seen in philosophic and methodologic conflict with a naturalistic, human science perspective of science. Researchers interested in data from both realms often rely on triangulation procedures, in which each is considered from its representative lens. Results are then projected out into a common area where data are melded and discussed. The purpose of this paper is to introduce the meta-matrix as a tool for triangulation in nursing research and to demonstrate its usefulness in an exemplar case. DESIGN/METHODS: The exploratory nature of a recent study led to the decision to manage triangulation using an emerging methodology, thereby allowing consideration of all data simultaneously through the use of a meta-matrix. Discussion of the meta-matrix as a method is presented. FINDINGS: Use of the meta-matrix facilitated data analysis and allowed pattern recognition across data sets. Discovery of several unexpected relationships deepened understanding of the results and assisted in identifying questions for further research. CONCLUSIONS/IMPLICATIONS: The meta-matrix method provides a useful alternative approach for secondary-level data analysis in mixed-methods research.

Data Interpretation, Statistical↗
PubMed2005

The Molecular Biology Toolkit (MBT): a modular platform for developing molecular visualization applications.

BACKGROUND: The large amount of data that are currently produced in the biological sciences can no longer be explored and visualized efficiently with traditional, specialized software. Instead, new capabilities are needed that offer flexibility, rapid application development and deployment as standalone applications or available through the Web. RESULTS: We describe a new software toolkit--the Molecular Biology Toolkit (MBT; http://mbt.sdsc.edu)--that enables fast development of applications for protein analysis and visualization. The toolkit is written in Java, thus offering platform-independence and Internet delivery capabilities. Several applications of the toolkit are introduced to illustrate the functionality that can be achieved. CONCLUSIONS: The MBT provides a well-organized assortment of core classes that provide a uniform data model for the description of biological structures and automate most common tasks associated with the development of applications in the molecular sciences (data loading, derivation of typical structural information, visualization of sequence and standard structural entities).

Algorithms↗
PubMed2004

Pistol image retrieval by shape representation.

Databases have been used to record data in forensic science, such as fingerprints, shoeprints, and photos. In traditional databases, we use "text" as the "keyword" for retrieving data (text-keyword retrieval); however, in some applications, "text" is not proper to describe the searching target, and in this case, "image" plays an important role. In this paper, we use "image features" as the "keywords", and show its potential for building up a prototype of pistol image databases. In current firearm databases of forensic science, the retrieval method is still by text-keyword retrieval. For experienced forensic examiners, this kind of databases may satisfy their requirement. However, for people who have little gun knowledge, how can they find the possible gun candidates or similar guns in the databases, if there are not any available words or marks on the gun? In this paper, we try to retrieve similar pistol images by the pistol shape instead of "text-keyword". This method can narrow down the searching range while identifying pistols by firearm databases. There are more than 300 pistol images in our pistol image database. From the experimental results, we can retrieve the similar pistol images in top five candidates for each pistol image.

Journal Article↗
PubMed2005

Data integration and visualization system for enabling conceptual biology.

MOTIVATION: Integration of heterogeneous data in life sciences is a growing and recognized challenge. The problem is not only to enable the study of such data within the context of a biological question but also more fundamentally, how to represent the available knowledge and make it accessible for mining. RESULTS: Our integration approach is based on the premise that relationships between biological entities can be represented as a complex network. The context dependency is achieved by a judicious use of distance measures on these networks. The biological entities and the distances between them are mapped for the purpose of visualization into the lower dimensional space using the Sammon's mapping. The system implementation is based on a multi-tier architecture using a native XML database and a software tool for querying and visualizing complex biological networks. The functionality of our system is demonstrated with two examples: (1) A multiple pathway retrieval, in which, given a pathway name, the system finds all the relationships related to the query by checking available metabolic pathway, transcriptional, signaling, protein-protein interaction and ontology annotation resources and (2) A protein neighborhood search, in which given a protein name, the system finds all its connected entities within a specified depth. These two examples show that our system is able to conceptually traverse different databases to produce testable hypotheses and lead towards answers to complex biological questions.

Computational Biology↗