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Results for “Data Storage And Retrieval”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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At least 55 records · Page 3Linked to original sources
PubMed1991

The O.M.E.N.S. classification of hemifacial microsomia.

The wide spectrum of anomalies associated with hemifacial microsomia (HFM) has made systematic and inclusive classification difficult. We propose a nosologic system in which each letter of the acronym O.M.E.N.S. indicates one of the five major manifestations of HFM. O for orbital distortion; M for mandibular hypoplasia; E for ear anomaly; N for nerve involvement; and S for soft tissue deficiency. The O.M.E.N.S. system is easily adapted for data storage, retrieval, and statistical analysis. A retrospective study of 154 patients with HFM classified according to the O.M.E.N.S. system confirmed the concept that the mandibular deformity is the cornerstone of the anomaly. Statistical analysis demonstrated a positive association between mandibular hypoplasia and the severity of orbital, auricular, neural, and soft tissue involvement. This study did not confirm a previously reported predominance of gender or sidedness. Analysis of statistical correlations failed to substantiate a Goldenhar variant as a syndromic entity. Our analysis showed that palatal deviation is probably caused by muscular hypoplasia and not by weakness of a particular cranial nerve.

Adult↗
PubMed1982

Computerization needs assessment.

The process of assessing needs for a computer application in a hospital pharmacy is described. The variables discussed for which data are needed include hospital-specific characteristics, personnel, data storage, data retrieval, data transmission interfaces, and hardware. By determining these needs, the buyer will be able to know the functions that are necessary and the vendors' abilities to meet the buyer's needs.

Computers↗
PubMed2006

Purdue ionomics information management system. An integrated functional genomics platform.

The advent of high-throughput phenotyping technologies has created a deluge of information that is difficult to deal with without the appropriate data management tools. These data management tools should integrate defined workflow controls for genomic-scale data acquisition and validation, data storage and retrieval, and data analysis, indexed around the genomic information of the organism of interest. To maximize the impact of these large datasets, it is critical that they are rapidly disseminated to the broader research community, allowing open access for data mining and discovery. We describe here a system that incorporates such functionalities developed around the Purdue University high-throughput ionomics phenotyping platform. The Purdue Ionomics Information Management System (PiiMS) provides integrated workflow control, data storage, and analysis to facilitate high-throughput data acquisition, along with integrated tools for data search, retrieval, and visualization for hypothesis development. PiiMS is deployed as a World Wide Web-enabled system, allowing for integration of distributed workflow processes and open access to raw data for analysis by numerous laboratories. PiiMS currently contains data on shoot concentrations of P, Ca, K, Mg, Cu, Fe, Zn, Mn, Co, Ni, B, Se, Mo, Na, As, and Cd in over 60,000 shoot tissue samples of Arabidopsis (Arabidopsis thaliana), including ethyl methanesulfonate, fast-neutron and defined T-DNA mutants, and natural accession and populations of recombinant inbred lines from over 800 separate experiments, representing over 1,000,000 fully quantitative elemental concentrations. PiiMS is accessible at www.purdue.edu/dp/ionomics.

Arabidopsis↗
PubMed1994

The management of information: storage and retrieval of data.

Internationally harmonized and cost-effective control of chemicals marketed worldwide greatly depend both on the generation of and easy access to reliable and comparable experimental information. Stored data are of use only if information can be retrieved quickly in an understandable form. Some models and theories of information retrieval (e.g. fuzzy set theory, probabilistic approach, artificial intelligence) are briefly discussed first, then followed by applications (such as indexing and clustering techniques). Finally the structure of databases is briefly reviewed.

Database Management Systems↗
PubMed1975

[Copyright and natural sciences].

Works in the natural sciences are provided with comparatively less copyright protection than literary works. Nevertheless, this protection is important for scientists. However, more recently, modern methods and techniques of information and documentation, such as reprography, microfilm archives, electronic data storage and retrieval, and data transmission have questioned the justification and effectiveness, even in principle, of this protection. A more detailed analysis demonstrates that this involves not so much a crisis of copyright law as a crisis of the entire field of scientific information.

Copyright↗
PubMed1981

Computer processing of visual field data. I. Recording, storage, and retrieval.

A minicomputer system has been developed to provide real-time management of visual field data. Records of a large population of patients with glaucoma in a university ophthalmic practice are stored on magnetic disks. Data storage has been semiautomated by means of a microprocessor-controlled recording device for standard perimeters. Existing visual field records may also be digitized by means of a magnetic graphics tablet. Records are retrievable in real time and are graphically displayed at video terminals.

Diagnosis, Computer-Assisted↗
PubMed1999

ArchiMed: a medical information and retrieval system.

ArchiMed is a highly flexible medical data storage and retrieval system which adds sophisticated clinical research support to a standard hospital information system (HIS). Currently, the HIS of Vienna General Hospital-University Hospital (2000 beds) stores the clinical data of over 2 million patients. While this system supports patient care (e.g., ADT, clinical chemistry, diagnosis, procedures), it has no features to facilitate research, such as the management of clinical studies. ArchiMed is designed to support clinical research. It includes an independent database, which mirrors virtually all the information held in the HIS while also allowing new data to be collected independently and to be added to the database. Flexible retrieval and analysis of data contained in the database are then possible. Thus, existing patient data can be smoothly incorporated into a study together with data collected specifically for research purposes. The system has already been successfully installed in the departments of surgery and soon in other departments as well.

Austria↗
PubMed2003

An integrated AMLAB-based system for acquisition, processing and analysis of evoked EMG and mechanical responses of upper limb muscles.

An integrated multi-channel AMLAB-based data acquisition, processing and analysis system has been developed to simultaneously display, quantify and correlate electromyographic (EMG) activity, resistive torque, range of motion, and pain responses evoked by passive elbow extension in humans. The system was designed around the AMLAB analog modules and software objects called ICAMs. Each channel consisted of a time and frequency domain block, a torque and angle measurement block, an experiment number counter block and a data storage and retrieval block. The captured data in each channel was used to display and quantify: raw EMG, rectified EMG, smoothed rectified EMG, root-mean-squared EMG, fast Fourier transformed (FFT) EMG, and normalized power spectrum density (NPSD) of EMG. Torque and angle signals representing elbow extension measured by a KIN-COM dynamometer during neural tension testing, as well as signals from an electronic pain threshold marker were interfaced to AMLAB and presented in one integrated display. Although this system has been designed to specifically study the patterns and nature of evoked motor responses during clinical investigation of carpal tunnel syndrome (CTS) patients, it could equally well be modified to allow acquisition, processing and analysis of EMG signals in other studies and applications. In this paper, we present for the first time the steps involved in the design, implementation and testing of an integrated AMLAB-based system to study and analyse the mechanically evoked electromyographic, torque and ROM signals and correlate various levels of pain to these signals. We also present samples of resistive torque ROM, and raw and processed EMG recordings during passive elbow extension.

Adult↗
PubMed1989

A knowledge-based information system for monitoring drug levels.

The expert system shell SMR has been enhanced to include information system routines for designing data screens and providing facilities for data entry, storage, retrieval, queries and descriptive statistics. The data for inference making is abstracted from the data base record and inserted into a data array to which the knowledge base is applied to derive the appropriate advice and comments. The enhanced system has been used to develop an intelligent information system for monitoring serum drug levels which includes evaluation of temporal changes and production of specialized printed reports. The module for digoxin has been fully developed and validated. To demonstrate the extension to other drugs a module for phenytoin was constructed with only a rudimentary knowledge base. Data from the request forms together with the S-digoxin results are entered into the data base by the department secretary. The day's results are then reviewed by the clinical pharmacologist. For each case, previous results may be displayed and are taken into account by the system in the decision process. The knowledge base is applied to the data to formulate an evaluative comment on the report returned to the requestor. The report includes a semi-graphic presentation of the current and previous results and either the system's interpretation or one entered by the pharmacologist if he does not agree with it. The pharmacologist's comment is also recorded in the data base for future retrieval, analysis and possible updating of the knowledge base. The system is now undergoing testing and evaluation under routine operations in the clinical pharmacology service. It is a prototype for other applications in both laboratory and clinical medicine currently under development at Uppsala University Hospital. This system may thus provide a vehicle for a more intensive penetration of knowledge-based systems in practical medical applications.

Data Interpretation, Statistical↗
PubMed2005

Storage and retrieval of microarray data and open source microarray database software.

Microarray technology has been widely adopted by researchers who use both home-made microarrays and microarrays purchased from commercial vendors. Associated with the adoption of this technology has been a deluge of complex data, both from the microarrays themselves, and also in the form of associated meta data, such as gene annotation information, the properties and treatment of biological samples, and the data transformation and analysis steps taken downstream. In addition, standards for annotation and data exchange have been proposed, and are now being adopted by journals and funding agencies alike. The coupling of large quantities of complex data with extensive and complex standards require all but the most small-scale of microarray users to have access to a robust and scaleable database with various tools. In this review, we discuss some of the desirable properties of such a database, and look at the features of several freely available alternatives.

Database Management Systems↗
PubMed2007

Photo archiving, cephalometric analyses, and information sharing on the Internet.

The method we use to collect, store, and share dental records of our patients is rapidly becoming digital. Many programs have been designed to run on a single computer or local network to handle various tasks, including cephalometric analysis and orthodontic treatment planning. Selecting a system can be complex, requiring consideration of capital investment costs and subscription or update fees, as well as the ease (or difficulty) of installing the system and learning to use it. cephX (cephX, Inc, Las Vegas, Nev) is an Internet-based digital data storage and retrieval service for cephalometric analyses, photographic storage, and online data sharing. Users pay for services as they are used, eliminating the need to buy new hardware or software.

Cephalometry↗
PubMed1975

A method for the storage and retrieval of laboratory data on human lymphoblastoid cell lines.

A computer-based system has been developed for the handling and retrieval of data on long-term human lymphoblastoid cell lines. It permits accurate recording of a wide range of genetic markers and other defined characteristics for the donor of each culture and for individual aliquots of any cell line. The data is recorded in relation to the in vitro age of each aliquot studied and the programme is designed to permit both the sequential examination of a single cell line and the comparison of lines of different origins. It is hoped that, by the application of this type of system, the confusion which has arisen in relation to other long-term cell lines (and which threatens to develop in relation to human lymphoblastoid cell lines) may be avoided and that the exchange of information between laboratories may be facilitated.

Cell Line↗