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PubMedDate not supplied

Genealogy data design appropriate for family relationship retrieving.

Data structure representing a genealogy or genealogies as a stand-alone date structure is presented. Genealogy is considered as a finite, connected graph with nodes ni representing individuals, arcs (ni, nj), ordered pairs of nodes as parent-offspring relationships and edges (ni, nj), unordered pairs of nodes as twinships. Such structure enables storage of the minimum of family relationships and recognition of them and others like 'ancestor-descendant', 'sibs', 'twins', 'cousins', 'uncle/aunt-nephew/niece' or 'spouses'. Algorithms for genealogy retrieval are classified as vertical, lateral and parallel. In certain combinations, vertical and lateral algorithms become capable of finding any relatives, no matter if they are in a direct 'ancestor-descendant' relationship or if they have only the same ancestor(s). A parallel algorithm is designed in order to search for twins, triplets etc.

Algorithms↗
PubMed2005

Data-fusion display system with volume rendering of intraoperatively scanned CT images.

In this study we have designed and created a data-fusion display that has enabled volumetric MIP image navigation using intraoperative C-arm CT data in the operating room. The 3D volumetric data reflecting a patient's inner structure is directly displayed on the monitor through video images of the surgical field using a 3D optical tracking system, a ceiling-mounted articulating monitor, and a small size video camera mounted at the back of the monitor. The system performance was validated in an experiment carried out in the operating room.

Computer Graphics↗
PubMed1999

A picture archiving and communications system featuring multiple monitors using Windows98.

We present an effective approach to manage, review, and distribute Digital Imaging and Communications in Medicine (DICOM) images with multiple monitors using Windows98 (Microsoft Corp, Redmond, WA) that can be implemented in an office-based setting. Computed tomography (CT), magnetic resonance imaging (MRI), and angiographic DICOM images were collected, compressed, and stored using Medweb (Medweb, Inc, San Francisco, CA) software. The Medweb server used the Linux/UNIX operating system on a Pentium 333-MHz processor with 128 MB of RAM. Short-term storage capacity was about 2 weeks with routine usage of an 11-GB hard drive. Images were presented for reading on a dual-monitor Windows98 Pentium display station with 160 MB of RAM using a Medweb/Netscape (Netscape Communications Corp, Mountain View, CA) viewer. There was no significant discrepancy in diagnosis between electronic and conventional film images. Mean reading time for 32 cases was 118 seconds. The Medweb JAVA plug-in viewer loaded the first image within 30 seconds of selecting the case for review. Full uncompressed 16-bit images allowed different window settings to better assess for pathology. Multiple monitors allowed viewing various hanging protocols. Cine viewing was also possible. Key diagnostic images were electronically transmitted to referring physicians. On-call radiologists were able to access images through the Internet. By combining Medweb, DICOM, and web-browser software using desktop personal computers (PCs), an easily accessible picture archiving and communications system (PACS) is available to radiologists and referring physicians. Multiple monitors are easily configured and managed using Windows98. This system can sustain changes and can be extended to provide variable functions using inexpensive PCs.

Angiography↗
PubMed2006

[Data sources in epidemiology].

The use of large databases has a high potential for future epidemiological research. Databases consisting of primary data as well as routine data that are mainly collected for administrative purposes will be of interest. This paper presents some large databases and some that are most relevant for epidemiological research, respectively, and shows how they might be exploited for research purposes. To make better use of large databases there are new requirements and challenges that we have to face regarding appropriate methods for their analysis. Some examples of such methods are given. An example of pharmaco-epidemiology illustrates linkage of several administrative databases and specific problems that have to be solved in this context. Finally, future challenges are discussed that have to be overcome on the way towards establishment, maintenance and analysis of large databases, especially regarding data protection, data quality and regular updates.

Computer Security↗
PubMed1993

CORDAT II: a new program for data acquisition and on-line calculation of hemodynamic and regional myocardial dimension parameters.

The present paper describes a new computer program for data acquisition and on-line evaluation of hemodynamic parameters. The hardware setup is based on a standard i486 personal computer equipped with an analog to digital converter and an additional display controller. During data acquisition the multitasking program automatically detects the beginning and the end of a cardiac cycle. Immediately after the recognition of a cardiac cycle the program calculates and displays user-defined hemodynamic parameters and mean values over a given time or a given number of beats. There is a high correlation between manually determined hemodynamic parameters and the parameters determined automatically by CORDAT II.

Aorta↗
PubMed2003

Information content of molecular structures.

For a completely enumerated set of conformers of a macromolecule or for exhaustive lattice walks of model polymers it is straightforward to use Shannon information theory to deduce the information content of the ensemble. It is also practicable to develop numerical measures of the information content of sets of exact distance constraints applied to specific conformational ensembles. We examine the effects of experimental uncertainties by considering "noisy" constraints. The introduction of noise requires additional assumptions about noise distribution and conformational clustering protocols that make the problem of measuring information content more complex. We make use of a standard concept in communication theory, the "noise sphere," to link uncertainty in measurements to information loss. Most of our numerical results are derived from two-dimensional lattice ensembles. Expressing results in terms of information per degree of freedom removes almost all of the chain length dependence. We also explore off-lattice polyalanine chains that yield surprisingly similar results.

Amino Acid Sequence↗
PubMed1997

An information system for metabolic intensive care unit.

The metabolic intensive care unit (MICU) is a special department where patients requiring long-term metabolic and nutritional support are treated. Parenteral nutrition is of primary importance in the MICU. The optimal organisation of many different data within the MICU, requires an information system which is computerised. However, the problem of paramount importance is data collection. To prevent data losses, we have constructed our computerised information system for MICU as the only information channel for mutual communication of physicians, nursing staff, laboratories, etc. The following modules are typical and necessary for work in the MICU: (1) module for parenteral nutrition; (2) module for enteral nutrition; (3) biochemical module; (4) drug therapy administration module; (5) clinical microbiology database; (6) nursing therapeutic module. At present we have 6-years experience of full computerisation of the MICU. According to this experience the assumption that the logical central point of medical information system must be close to the physician, nurse and patient proved to be correct.

Biochemical Phenomena↗
PubMed2004

The heart of the Heart Hospital--information technology.

The Indiana Heart Hospital, located in Indianapolis, Indiana, opened on February 17, 2003, as the first all digital Heart Hospital in the United States. Physicians, nurses, and all the ancillary departments use computers to do physician orders, progress notes, nursing bedside documentation, procedure notes, and consultant notes. They also use computers to view laboratory results, x-rays, cardiac catheterization films, echocardiograms, and EKGs. This information is available not only while the clinician is in the building, but also from anywhere outside the hospital with Internet access. This purpose-made physical plant has been developed to accommodate and integrate all the new digital applications that are currently advancing cardiac surgical care today.

Cardiac Surgical Procedures↗
PubMed2001

Recording of data of individual measurements of occupational exposure: guideline of the Dutch Society of Occupational Hygiene (October 1999).

Following the recommendations of the European Working Group on Exposure Databases, a Working Group (on Storage of Data of Measurements of Occupational Exposure) of the Dutch Occupational Hygiene Society has developed a Guideline which was presented at the International Symposium on Occupational Exposure Databases and Their Application for the Next Millennium, November 1-3, 1999, London. To establish the present situation, a small-scale telephone survey of monitoring practices and storage of data was done within the Society. The results of the telephone survey and the draft guidance document were discussed with the occupational hygienists and other stakeholders (e.g., authorities, industry, labor unions, and occupational physicians) in a society meeting. This meeting was used to gather ideas on the need and support for a guidance document and to get input for improving the draft guidance document and for implementation of the Guideline. After this meeting, the Guideline was further developed and published by the Dutch Occupational Hygiene Society. The Guideline concentrates on the data elements required when storing exposure data. The data elements presented are the minimum and should be stored minimally to ensure proper interpretation of results at present and in the future and definitions of the items used are given. The Guideline does not prescribe how the data should be stored, or which procedures need to be used to guarantee the quality of the recorded data elements.

Data Collection↗
PubMed2003

Formats of image data files that can be used in routine digital light micrography. Part two.

This is part two of an article that describes the properties of the image data files that are encountered routinely in digital light micrography. In the current part of the article, the differences between saving image data as large intact files and smaller files that have had some information removed, i.e., using lossy compression, are related first. Subsequently, appropriate ways of configuring computers to deal with the large intact image data files are suggested. The structures of the image data files used for recording dynamic sequences and kinematic animations of series of digital light micrographs, i.e., movie formats, are then described. Finally, some information is supplied about choosing file formats for compressing both static and dynamic image data sets.

Computer Graphics↗
PubMed2002

VIZARD: analysis of Affymetrix Arabidopsis GeneChip data.

UNLABELLED: The Affymetrix GeneChip Arabidopsis genome array has proved to be a very powerful tool for the analysis of gene expression in Arabidopsis thaliana, the most commonly studied plant model organism. VIZARD is a Java program created at the University of California, Berkeley, to facilitate analysis of Arabidopsis GeneChip data. It includes several integrated tools for filtering, sorting, clustering and visualization of gene expression data as well as tools for the discovery of regulatory motifs in upstream sequences. VIZARD also includes annotation and upstream sequence databases for the majority of genes represented on the Affymetrix Arabidopsis GeneChip array. AVAILABILITY: VIZARD is available free of charge for educational, research, and not-for-profit purposes, and can be downloaded at http://www.anm.f2s.com/research/vizard/ CONTACT: moseyko@uclink4.berkeley.edu

Arabidopsis↗
PubMed2003

INFEVERS: the Registry for FMF and hereditary inflammatory disorders mutations.

We have established the INFEVERS--INternet periodic FEVERS--website (which is freely accessible at http://fmf.igh.cnrs.fr/infevers/). Our objectives were to develop a specialist site to gather updated information on mutations responsible for hereditary inflammatory disorders: i.e. Familial Mediterranean Fever (FMF), TRAPS (TNF Receptor 1A Associated Syndrome), HIDS (HyperIgD Syndrome), MWS (Muckle-Wells Syndrome)/FCU (Familial Cold Urticaria)/CINCA (Chronic Infantile Neurological Cutaneous and Articular Syndrome). Contributors submit their novel mutations through a 3 step form. Depending on the disease concerned, a member of the editorial board is automatically solicited to overview and validate new submissions, via a special secured web interface. If accepted, the new mutation is available on the INFEVERS web site and the discoverer, who is informed by email, is credited by having his/her name and date of the discovery on the site. The INFEVERS gateway provides researchers and clinicians with a common access location for information on similar diseases, allowing a rapid overview of the corresponding genetic defects at a glance. Furthermore, it is interactive and extendable according to the latest genes discovered.

Data Collection↗
PubMed2003

The SNP Consortium website: past, present and future.

The SNP Consortium website (http://snp.cshl.org) has undergone many changes since its initial conception three years ago. The database back end has been changed from the venerable ACeDB to the more scalable MySQL engine. Users can access the data via gene or single nucleotide polymorphism (SNP) keyword searches and browse or dump SNP data to textfiles. A graphical genome browsing interface shows SNPs mapped onto the genome assembly in the context of externally available gene predictions and other features. SNP allele frequency and genotype data are available via FTP-download and on individual SNP report web pages. SNP linkage maps are available for download and for browsing in a comparative map viewer. All software components of the data coordinating center (DCC) website (http://snp.cshl.org) are open source.

Chromosome Mapping↗