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Design guidelines for interactive multimedia learning environments to promote social inclusion.

PURPOSE: There is a continuing need for guidelines to aid in the design of Interactive Multimedia Learning Environments (IMLE) to promote effective learning. The project introduced in this paper looks at an important subset of this problem, the design of interactive learning environments to promote social inclusion. METHOD: A consortium of six partners contributed toward defining learning material to develop a range of work based skills, including horticulture, IT and catering. These were then developed into IMLE prototypes. Formative evaluation of these prototypes then revealed a range of usability problems, which were grouped into generic types and frequency of occurrence. RESULTS: The most important and frequently occurring problems were used to distil a set of design guidelines for the development of effective IMLE. The results from this usability content analysis were also used to refine the initial prototypes to improve their usability and effectiveness. CONCLUSIONS: These guidelines, termed the Greenhat Design Guidelines, can be adopted for use by all multimedia developers aiming to promote the social inclusion of vulnerable or socially disadvantaged groups of people. The refined IMLE can be accessed via the Greenhat Server to improve the employment-related skills of socially excluded people.

Computer-Assisted Instruction↗

A review of US EPA and FDA requirements for electronic records, electronic signatures, and electronic submissions.

Both the United States Environmental Protection Agency (EPA) and the U.S. Food and Drug Administration (FDA) have issued regulatory documents that address the issues and requirements concerning electronic reporting to the Agencies. EPA has published two comprehensive and useful electronic data interchange (EDI) guidelines: 1) the EPA Electronic Data Interchange (EDI) Implementation Guideline, Draft of September 23, 1994 and October 18, 1994 that is available at the following EPA web site address: www.epa.gov/oppeedi1/guidelines/general.pdf and 2) the Interim Final Notice, Filing of Electronic Reports via Electronic Data Interchange, September 4, 1996, Federal Register Notice [FRL-5601-4, Volume 61, Number 172, page 46684], also available at: www.epa.gov/oppeedi1/edipoli.htm. The FDA has published a guidance document titled, "Guidance for Industry, Computerized Systems Used in Clinical Trials, April 1999" that is available at FDA's web site: www.fda.gov/ora/compliance_ref/bimo/ffinalcct.++ +htm. FDA's guidance document addresses a number of issues for electronic records that are applicable to all areas of GLP compliance. Another FDA document presently under development is titled, "Electronic Standards for the Transmission of Regulatory Information (ESTRI) Gateway." The ESTRI document defines strategic plans for electronic submissions to FDA. FDA has published a guidance document in this area titled, "Guidance for Industry: Providing Regulatory Submissions in Electronic Format--General Considerations, January 1999." This guidance document is available at: www.fda.gov/cder/guidance/index.htm. FDA has also published an important final rule applicable to all electronic records and signatures that is part of the U.S. Title 21 Code of Federal Regulations (CFR), Part 11, titled, "FDA's Final Rule, Electronic Records; Electronic Signatures, effective August 20, 1997." This FDA ruling is discussed below and is available at: www.fda.gov/cder/esig/index.htm.

Authorship↗

How good are my data?: Information quality assessment methodology.

Quality assurance techniques used in software development and hardware maintenance/reliability help ensure that data in a computerized information management system are maintained well. However, information workers may not know the quality of data resident in their information systems. Knowledge of the quality of information and data in an enterprise provides managers with important facts for managing and improving the processes that impact information quality. This paper presents quality assessment methodology to assist information workers in planning and implementing an effective assessment of their information data and quality. The areas covered include: identifying appropriate information quality indicators; developing assessment procedures; conducting information quality assessments; reporting information assessment results; tracking improvements in information quality.

Computers↗

Development of an assessment tool to measure the influence of clinical software on the delivery of high quality consultations. A study comparing two computerized medical record systems in a nurse run heart clinic in a general practice setting.

A rating scale was developed to assess the contribution made by computer software towards the delivery of a quality consultation, with the purpose of informing the development of the next generation of systems. Two software programmes were compared, using this scale to test their ability to enable or inhibit the delivery of an ideal consultation with a patient with heart disease. The context was a general practice based, nurse run clinic for the secondary prevention of heart disease. One of the programmes was customized for this purpose; the other was a standard general practice programme. Consultations were video-recorded, and then assessed by an expert panel using the new assessment tool. Both software programmes were oriented towards the implementation of the evidence, rather than facilitating patient-centred practice. The rating scale showed, not surprisingly, significantly greater support from the customized software in the consultation in five out of eight areas. However, the scale's reliability measured by Cronbach's Alpha, was sub-optimal. With further refinement, this rating scale may become a useful tool that will inform software developers of the effectiveness of their programmes in the consultation, and suggest where they need development.

Ambulatory Care↗

Improved quality data systems through the use of standard electronic data deliverables (EDDs) and environmental data assessment software.

One of the challenges facing professionals in the environmental arena today is the collection and assessment of large amounts of environmental analytical data. The assessment of the quality of that data is essential as multi-million dollar decisions for environmental site cleanups and/or long term monitoring efforts are made based on the analytical results. Also critical to environmental programs is the sharing and access of data across multiple data users. The ability to share data allows for better use of the limited resources available to clean up and monitor contaminated environmental sites. Standardization of electronic deliverables allows for collection of data from multiple data collectors into a single database for use by numerous data users and stakeholders on a project. This paper discusses the benefits of using a standard EDD deliverable format and use of environmental data assessment software tools to do project planning and data assessment throughout the duration of the environmental project.

Database Management Systems↗

CalcDose: a software for drug dosage conversion using metabolically active mass of animals.

This Visual Basic computer program has been developed for drug dosage conversions using metabolically active mass (MAM) of the animals. The two body weights (one with known dosage and the other, for which the dosage has to be calculated) and the known dosage are entered in the respective input boxes and the appropriate units are selected using the option buttons. The program displays the report in the form of both the animals' body weights and the respective dosages in milligram per kilogram body weight as well as the total actual doses in milligrams. The object oriented layout, flexible data entry and comprehensive report format render the CalcDose software a convenient and handy tool for dosage conversions.

Animals↗

Electron beam dose calculations with the VMC algorithm and the verification data of the NCI working group.

The accuracy of the Monte Carlo algorithm for fast electron dose calculation, VMC, is demonstrated by comparing calculations with measurements performed by a working group of the National Cancer Institute (NCI) of the USA. For both energies investigated, 9 and 20 MeV, the measurements in water are taken to determine the energy spectra of the Varian Clinac 1800 accelerator. For the majority of the experiments a good agreement is found between measurements and VMC calculations. However, in some cases deviations have been observed, which could be explained by the incompletely known geometry on the one hand and by inconsistent data on the other hand. As a reference, dose distributions calculated by the MDAH pencil-beam algorithm are also presented. It is shown that, especially near low- or high-density inhomogeneities, large dose overestimations and underestimations are calculated by using a pencil-beam approach, whereas VMC is able to reproduce the correct doses for these cases also.

Algorithms↗

An overview of attenuation and scatter correction of planar and SPECT data for dosimetry studies.

A number of factors impact the accuracy of activity quantitation in planar and single photon emission computed tomographic (SPECT) imaging. Two important such factors are attenuation and scattering in the medium containing the activity. The first removes photons which otherwise would have been included in the images, and the second adds events to the images from photons which would not have otherwise been imaged. A number of methods have been developed to compensate for these biases to activity quantitation. This review will briefly introduce planar quantitation which is commonly used for dosimetric purposes, and then present a slightly more detailed overview of SPECT quantitation which is arguably more accurate. It will conclude by cautioning users of commercial reconstruction software to validate it for quantitation before using it for dosimetric purposes.

Algorithms↗

Effectiveness of virtual reality for teaching pedestrian safety.

Sixty percent to 70% of pedestrian injuries in children under the age of 10 years are the result of the child either improperly crossing intersections or dashing out in the street between intersections. The purpose of this injury prevention research study was to evaluate a desktop virtual reality (VR) program that was designed to educate and train children to safely cross intersections. Specifically, the objectives were to determine whether children can learn pedestrian safety skills while working in a virtual environment and whether pedestrian safety learning in VR transfers to real world behavior. Following focus groups with a number of key experts, a virtual city with eight interactive intersections was developed. Ninety-five children participated in a community trial from two schools (urban and suburban). Approximately half were assigned to a control group who received an unrelated VR program, and half received the pedestrian safety VR intervention. Children were identified by group and grade by colored tags on their backpacks, and actual street crossing behavior of all children was observed 1 week before and 1 week after the interventions. There was a significant change in performance after three trials with the VR intervention. Children learned safe street crossing within the virtual environment. Learning, identified as improved street-crossing behavior, transferred to real world behavior in the suburban school children but not in the urban school. The results are discussed in relation to possibilities for future VR interventions for injury prevention.

Accidents, Traffic↗

Simulating glycosylated hemoglobin (HbA1c) levels in diabetes using an interactive educational virtual diabetes patient simulator.

In 1996, an interactive educational diabetes simulator called AIDA was released without charge on the Internet as a noncommercial contribution to continuing diabetes education. Over the past 5 years, over 100,000 people have visited the AIDA Web pages at http://www.2aida.org and over 25,000 copies of the program have been downloaded free-of-charge. Previous Diabetes Information Technology & WebWatch columns have described various user feedback comments about the AIDA software. This current column overviews the method applied for modelling glycosylated hemoglobin (HbA1c) levels within an updated version of the AIDA program (v4.3). The result seems to be a useful and novel addition to the diabetes simulations, providing a parameter with which most users will be familiar, and able to relate. It is expected that the HbA1c indicator may prove useful in enhancing the educational value of the diabetes simulations.

Computer Simulation↗

Building human genome maps with radiation hybrids.

Genome maps are crucial tools in human genetic research, providing known landmarks for locating disease genes and frameworks for large-scale sequencing. Radiation hybrid mapping is one technique for building genome maps. In this paper, we describe the methods used to build radiation hybrid maps of the entire human genome. We present the hidden Markov model that we employ to estimate the likelihood of a map despite uncertainty about the data, and we discuss the problem of searching for maximum-likelihood maps. We describe the graph algorithms used to find sparse but reliable initial maps and our methods of extending them. Finally, we show results validating our software on simulated data, and we describe our genome-wide human radiation hybrid maps and the evidence supporting them.

Chromosome Mapping↗

Transcription regulatory region analysis using signal detection and fuzzy clustering.

MOTIVATION: Presently available programs for the recognition of potential transcription factor binding sites in genomic sequences generally yield a huge amount of output. These output lists have to be filtered to obtain biologically significant elements, which is highly laborious work to be done manually. RESULTS: We developed a strategy for systematic verification and improvement of the underlying profiles, and for their contextual analysis by a fuzzy clustering approach using non-redundant libraries of search profiles as a prerequisite. AVAILABILITY: The tools mentioned in the paper are available upon request. CONTACT: ewi@gbf.de

Algorithms↗

A genetic algorithm for designing gene family-specific oligonucleotide sets used for hybridization: the G protein-coupled receptor protein superfamily.

MOTIVATION: Massive oligonucleotide hybridization is one of the most promising technologies of functional genome analysis. The critical point is to design appropriate sets of oligonucleotides that can be used effectively in identification by hybridization. RESULTS: Using a genetic algorithm approach, we have attempted to design sets of oligo probes capable of identifying new genes belonging to a defined gene family within a cDNA or genomic library. It is not limited by oligonucleotide length and admits the letter 'N' in the structure of the oligonucleotides selected. One of the major advantages of this approach is the low homology required to identify functional families of sequences with little homology. We have designed the oligonucleotide sets that are most selective for the cDNA clones of transmembrane G protein-coupled receptors (GPCRs), a large family of proteins that form part of a modular system of extracellular signal transduction to the intracellular second messenger pathways. The accuracy of identification has been checked on the EST library containing 713 870 cDNA sequences. A set of 15 oligos between 7 and 14 bases in length has correctly identified 70% of the GPCR cDNA collection sequences with 0.02% false positives. AVAILABILITY: The developed software is available by ftp://ftp.bionet.nsc. ru/pub/biology/ and on the Web page http://www.bionet.nsc. ru/SRCG/Oligoselector/. CONTACT: kel@.bionet.nsc.ru; sebastian. meier-ewert@gpc-ag.com

Algorithms↗

Systematic genomic screening and analysis of mRNA in untranslated regions and mRNA precursors: combining experimental and computational approaches.

MOTIVATION: The untranslated regions (UTRs) of mRNA upstream (5'UTR) and downstream (3'UTR) of the open reading frame, as well as the mRNA precursor, carry important regulatory sequences. To reveal unidentified regulatory signals, we combine information from experiments with computational approaches. Depending on available knowledge, three different strategies are employed. RESULTS: Searching with a consensus template, new RNAs with regulatory RNA elements can be identified in genomic screens. By this approach, we identify new candidate regulatory motifs resembling iron-responsive elements in the 5'UTRs of HemA, FepB and FrdB mRNA from Escherichia coli. If an RNA element is not yet defined, it may be analyzed by combining results from SELEX (selective enrichment of ligands by exponential amplification) and a search of databases from RNA or genomic sequences. A cleavage stimulating factor (CstF) binding element 3 of the polyadenylation site in the mRNA precursor serves as a test example. Alternatively, the regulatory RNA element may be found by studying different RNA foldings and their correlation with simple experimental tests. We delineate a novel instability element in the 3'UTR of the estrogen receptor mRNA in this way. AVAILABILITY: Strategy, methods and programs are available on request from T.Dandekar. CONTACT: dandekar@embl-heidelberg.de

3' Untranslated Regions↗

Statistics of large-scale sequence searching.

MOTIVATION: Database search programs such as FASTA, BLAST or a rigorous Smith-Waterman algorithm produce lists of database entries, which are assumed to be related to the query. The computation of statistical significance of similarity scores is well established for single pairs of sequences and using purely random models. However, the multi-trial context of a database search poses new problems. The credibility of a certain score obtained in a database search decreases with the amount of data that is compared. To improve p-value computation for database search experiments, statistical properties of the databases, such as the distribution of sequence length and effects induced by frequently repeated sequence patterns, need to be taken into account. RESULTS: We investigated the SWISS-PROT protein database Release 31.0 running extensive simulations of database searches. A discrepancy is observed between the theoretical predictions and the empirical distribution. To correct for this, we evaluate the statistical significance of scores in the context of a database search by a contrasting semi-random model. This model enhances purely random models by one additional parameter reflecting individual statistical properties of real databases. We call this parameter the effective size of the database. CONTACT: r.spang@dkfz-heidelberg.de;m.vingron@dkfz-hei del berg.de

Computational Biology↗

Towards detection of orthologues in sequence databases.

MOTIVATION: Numerous homologous sequences from diverse species can be retrieved from databases using programs such as BLAST. However, due to multigene families, evolutionary relationship often cannot be easily determined and proper functional assignment becomes difficult. Thus, discrimination between orthologues and paralogues within BLAST output lists of homologous sequences becomes more and more important. RESULT: We therefore developed a method that attempts to construct a reconciled tree from a gene tree of selected sequences and its corresponding phylogenetic tree of the species involved (species tree). An interface on the Web is developed to enable users to analyse the BLAST result. BLAST outputs are parsed and, for the selected sequences, multiple alignments are constructed either globally or for local regions. Bootstrapped trees are returned and compared with the expected species tree. In cases of discrepancies, gene duplications are assumed and a reconciled tree is computed. The reconciled tree shows probable orthologues and paralogues as predicted.

Computational Biology↗

DIALIGN: finding local similarities by multiple sequence alignment.

MOTIVATION: DIALIGN is a new method for pairwise as well as multiple alignment of nucleic acid and protein sequences. While standard alignment programs rely on comparing single residues and imposing gap penalties, DIALIGN constructs alignments by comparing whole segments of the sequences. No gap penalty is employed. This point of view is especially adequate if sequences are not globally related, but share only local similarities, as is the case in genomic DNA sequences and in many protein families. RESULTS: Using four different data sets, we show that DIALIGN is able correctly to align conserved motifs in protein sequences. Alignments produced by DIALIGN are compared systematically to the results of five other alignment programs. AVAILABILITY: DIALIGN is available to the scientific community free of charge for non-commercial use. Executables for various UNIX platforms including LINUX can be downloaded at http://www.gsf.de/biodv/dialign.html CONTACT: werner, morgenstern@gsf.de

Algorithms↗