SEARCH · Search PubMed

Results for “Dictionary”

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.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 415 records · Page 23Linked to original sources

PubMed2002

Does training increase the use of more emotionally laden words by nurses when talking with cancer patients? A randomised study.

The emotional content of health care professionals-cancer patient communication is often considered as poor and has to be improved by an enhancement of health care professionals empathy. One hundred and fifteen oncology nurses participating in a communication skills training workshop were assessed at three different periods. Nurses randomly allocated to a control group arm (waiting list) were assessed a first time and then 3 and 6 months later. Nurses allocated to the training group were assessed before training workshop, just after and 3 months later. Each nurse completed a 20-min clinical and simulated interview. Each interview was analysed by three content analysis systems: two computer-supported content analysis of emotional words, the Harvard Third Psychosocial Dictionary and the Martindale Regressive Imagery Dictionary and an observer rating system of utterances emotional depth level, the Cancer Research Campaign Workshop Evaluation Manual. The results show that in clinical interviews there is an increased use of emotional words by health care professionals right after having been trained (P=0.056): training group subjects use 4.3 (std: 3.7) emotional words per 1000 used before training workshop, and 7.0 (std: 5.8) right after training workshop and 5.9 (std: 4.3) 3 months later compared to control group subjects which use 4.5 (std: 4.8) emotional words at the first assessment point, 4.3 (std: 4.1) at the second and 4.4 (std: 3.3) at the third. The same trend is noticeable for emotional words used by health care professionals in simulated interviews (P=0.000). The emotional words registry used by health care professionals however remains stable over time in clinical interviews (P=0.141) and is enlarged in simulated interviews (P=0.041). This increased use of emotional words by trained health care professionals facilitates cancer patient emotion words expressions compared to untrained health care professionals especially 3 months after training (P=0.005). This study shows that health care professionals empathy may be improved by communication skills training workshop and that this improvement facilitates cancer patients emotions expression.

Adult↗

PubMed2005

Identification of Australians from culturally and linguistically diverse backgrounds in national health data collections.

In multicultural Australia, comprehensive and up-to-date information on ethnicity and health is essential to guide policy and service development in the health sector. Data collected for purposes other than research are a potentially important source of information. This study explored the extent to which indicators of cultural and linguistic diversity are currently included in national health and welfare service data collections, and the data standards employed. We identified and reviewed 44 relevant bodies of work: 7 national data dictionaries, 15 national data sets, 10 national health data collections and 12 national surveys. Each of the large data dictionaries (health, community services and housing assistance) contained several ethnicity-related variables. Immigrant Australians were identified (usually by country of birth, sometimes by language, and occasionally by period of residence or year of arrival) in all the major national health and community data sets, health data collections and surveys. Australian Bureau of Statistics standards and classifications relating to cultural and linguistic diversity were widely used. Researchers, health policy makers and planners should fully exploit these secondary data sources, as well as undertaking or commissioning primary research.

Australia↗

PubMed1988

Primary process content in paranoid schizophrenic speech.

Free speech samples given by paranoid schizophrenics, nonschizophrenic paranoids, and nonpsychotic psychiatric patients were submitted to computerized content analysis. Speech samples were searched for words belonging to the Regressive Imagery Dictionary (Martindale, 1975), which yields a well-validated measure of primary process content. Three word-concreteness dictionaries were also employed. Compared to the other groups, paranoid schizophrenics produced speech higher in primary process content as well as in transitive verb concreteness. Results are consistent with psychoanalytic theory.

Adult↗

PubMed1997

The origin of the word Stent.

In 1856, the English dentist Charles Stent developed a thermoplastic-like material for taking impressions of toothless mouths. This "Stent mass" was later used as a device or mould for keeping a skin graft in place; it was also used to provide support for anastomosis. A hundred years after the inventor's death in 1885, the word stent has been adopted all over the world in interventional radiology but today it is understood to mean percutaneous tubular structures that induce or maintain lumen patency. The true origin of the word stent is not found in many dictionaries. In most references, the wrong dentist is given credit for the discovery. Dictionaries also refer to the obsolete English and Scottish words stent and stint which mean, among other things, "to extend". The true origin of the word is therefore somewhat unclear.

Anastomosis, Surgical↗

PubMed2005

Sequence structure of van der Waals locks in proteins.

Recent works has suggested that proteins in early evolution have gone through a stage of closed loop elements with a typical contour size of 25-35 residues. These closed loops are still the elementary protein units to these days, and can be used to spell out protein sequence/structure relationship through a relatively small number of protein prototypes. In this study we aimed to identify the sequences that are used to lock the loop ends to one another, and to show how an extensive dictionary of such locking pairs can be created using positional correlation data from a large proteome database, and structural data from PDB databases. Such a dictionary can be used in reconstructing the evolutionary pathway the modern proteins have gone through, and in identifying closed loop elements in modern proteins with yet unknown 3D structure.

Amino Acid Motifs↗

PubMed2002

Mining protein sequences for motifs.

We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs in protein sequences. The algorithm assumes that a motif is constituted by the presence of a "good" combination of residues in appropriate locations of the motif. The algorithm attempts to compile such good combinations into a "pattern dictionary" by processing an aligned training set of protein sequences. The dictionary is subsequently used to detect motifs in new protein sequences. Statistical significance of the detection results are ensured by statistically determining the various parameters of the algorithm. Based on this approach, we have implemented a program called GYM. The Helix-Turn-Helix motif was used as a model system on which to test our program. The program was also extended to detect Homeodomain motifs. The detection results for the two motifs compare favorably with existing programs. In addition, the GYM program provides a lot of useful information about a given protein sequence.

Algorithms↗

PubMed2006

A compression-based approach for coding sequences identification. I. Application to prokaryotic genomes.

Most of the gene prediction algorithms for prokaryotes are based on Hidden Markov Models or similar machine-learning approaches, which imply the optimization of a high number of parameters. The present paper presents a novel method for the classification of coding and non-coding regions in prokaryotic genomes, based on a suitably defined compression index of a DNA sequence. The main features of this new method are the non-parametric logic and the costruction of a dictionary of words extracted from the sequences. These dictionaries can be very useful to perform further analyses on the genomic sequences themselves. The proposed approach has been applied on some prokaryotic complete genomes, obtaining optimal scores of correctly recognized coding and non-coding regions. Several false-positive and false-negative cases have been investigated in detail, which have revealed that this approach can fail in the presence of highly structured coding regions (e.g., genes coding for modular proteins) or quasi-random non-coding regions (e.g., regions hosting non-functional fragments of copies of functional genes; regions hosting promoters or other protein-binding sequences). We perform an overall comparison with other gene-finder software, since at this step we are not interested in building another gene-finder system, but only in exploring the possibility of the suggested approach.

Algorithms↗

PubMed1999

Creating a computerized database from administrative claims data.

The creation of a computerized database from Medicaid administrative claims data for research purposes is described. Researchers should consult with computer experts at their institution before selecting software for data manipulation and conversion. It is essential to have an accurate layout of the file record before attempting to convert raw claims data into data sets or other data formats. The location of data elements within the claim will vary depending on whether the record comes from a provider, an institution, or a pharmacy. Each claim contains a common header, a variable header, and a claim detail section. The difficulty in analyzing data elements within a claim detail lies in locating the starting point of the claim detail section. So that data elements not in character or numeric formats can be converted, the file record layout must describe the exact format of each data element and its COBOL notation. A data element dictionary is necessary for translating data element coding into usable data. Data elements not necessary for any planned analysis must be eliminated. The data are then "cleaned" to remove any denied or reversed claims and claims that contain incomplete or erroneous data. Regardless of the format data are obtained in, an accurate file record layout and a data element dictionary are essential to the conversion of administrative claims data into a computerized database for data analysis and research purposes.

Database Management Systems↗

PubMed2001

Automated extraction of information on protein-protein interactions from the biological literature.

MOTIVATION: To understand biological process, we must clarify how proteins interact with each other. However, since information about protein-protein interactions still exists primarily in the scientific literature, it is not accessible in a computer-readable format. Efficient processing of large amounts of interactions therefore needs an intelligent information extraction method. Our aim is to develop an efficient method for extracting information on protein-protein interaction from scientific literature. RESULTS: We present a method for extracting information on protein-protein interactions from the scientific literature. This method, which employs only a protein name dictionary, surface clues on word patterns and simple part-of-speech rules, achieved high recall and precision rates for yeast (recall = 86.8% and precision = 94.3%) and Escherichia coli (recall = 82.5% and precision = 93.5%). The result of extraction suggests that our method should be applicable to any species for which a protein name dictionary is constructed. AVAILABILITY: The program is available on request from the authors.

Electronic Data Processing↗

PubMed1989

Methods for discovering novel motifs in nucleic acid sequences.

We describe a computer tool to aid the discovery of new motifs in nucleic acid sequences. A typical use would be to analyse a set of upstream regions from a family of related genes in order to find possible control sequences. The heart of the method is the creation of dictionaries of related subsequences. These dictionaries can then be analysed to look for the commonest or best-defined subsequences, those that occur in the highest number of different sequences, or for those in equivalent positions within the family. We show the application of the method to a set of E. coli promoter sequences.

Base Sequence↗

PubMed2006

tuple_plot: fast pairwise nucleotide sequence comparison with noise suppression.

SUMMARY: The program tuple_plot identifies and visualizes local similarities between two genomic sequences, typically 100 kb or longer, by applying the well-known dotplot principle. A dictionary of sequence words built from the input sequences serves to construct a task-specific expectancy model that is used to attribute significance values to pairwise word hits. The dictionary-based approach allows fast computation, the computation time scaling to O(N log N), depending on the size of the input sequences. The proposed scoring scheme appreciably increases the signal-to-noise ratio and may help to improve other word-based sequence comparison approaches. AVAILABILITY: tuple_plot is available at http://genome.fli-leibniz.de/software.html and may be used under GNU public license.

Algorithms↗

PubMed2005

Creating standard cost measures across integrated health care delivery systems.

BACKGROUND: Economic analyses are increasingly important in medical research. Accuracy often requires that they include large, diverse populations, which requires data from multiple sources. The difficulty is in making the data comparable across different settings. This article focuses on how to create comparable measures of health care resource use and cost using data from seven health plans and delivery systems participating in the Cancer Research Network's HMOs Investigating Tobacco study. METHODS: We used a data inventory to identify variation in data capture across sites and used data dictionaries to develop algorithms for assigning standardized cost to the three major components of health care use: outpatient, inpatient, and pharmacy. RESULTS: The plans included in this study varied from fully integrated, closed-panel models to plans and delivery systems that include network or independent physician association components. Information derived from the data inventory and data dictionary instruments demonstrated a substantial variation in both the content and capture of data across all sites and across all components of usage. The methods we employed for cost allocation varied by usage component and were based on our ability to leverage the data points available to best reflect actual resource use. CONCLUSIONS: The importance of this article is the method of ascertaining, cataloging, and addressing the within- and between-plan differences in health care resource use. Second, the decisions we made to address the differences between health plans provide other researchers a starting point when creating a cost algorithm for multisite retrospective research.

Adult↗

PubMed1984

16S rRNA oligonucleotide catalog data base.

We have developed a package of programs to create, maintain and manipulate a data base of 16S rRNA oligonucleotide catalog data. For the first time all the published catalog data is brought together in one place in a readily usable form. The package allows generation of dendrograms, facilitates searches for related oligonucleotides between catalogs, and allows construction of global and local dictionaries. Interactive capabilities allow for searches of the dictionary as well as an associated file of likely oligonucleotide families.

Base Sequence↗

PubMed1999

An assessment of the Nam Pehchan computer program for the identification of names of south Asian ethnic origin.

BACKGROUND: An assessment was made of the usefulness and accuracy of a computer program for the identification of the south Asian population through the classification of names on a disease register. METHODS: The computer program, Nam Pehchan, was used to classify names as either south Asian or non south Asian. The results were compared with a reference standard, which combined use of the program with visual inspection. The latter was facilitated by a computer-generated dictionary of common non south Asian names. The data set consisted of 356,555 cases of incident cancer (ICD9: 140-208) registered between 1990 and 1992 by Thames, Trent, West Midlands and Yorkshire cancer registries. RESULTS: Nam Pehchan classified 5506 cases as south Asian. Visual inspection identified 2024 false positives (36.8 per cent of all cases identified as south Asian by Nam Pehchan) and 363 false negatives (9.5 per cent of those identified by the reference standard). Compared with the reference standard, Nam Pehchan had a sensitivity of 90.5 per cent and a positive predictive value of 63.2 per cent. CONCLUSION: The Nam Pehchan program quickly identified a high proportion of the names classified as south Asian by the reference standard, but the high false positive rate means that the program alone is not an adequate single strategy. The time-consuming process of inspection of program negatives for large data sets can be substantially reduced by comparison with dictionaries of common non south Asian names.

Asia↗

PubMed1981

Methodological considerations in the use of the abbreviated injury scale in trauma epidemiology.

As part of an incidence study of external cause-specific trauma, the Abbreviated Injury Scale (AIS) and the Injury Severity Score (ISS) are being used to measure the severity of the anatomic injuries. Problems identified in the study pilot phase by medical record specialists, after training in AIS procedures, include noteworthy variations in the interpretation of scaling procedures in the AIS dictionary. The AIS dictionary was replaced by a newly designed single page (SP) precoded abstracting form. It contains alphabetical descriptors for each trauma type within a body region and a unique 3-digit identifier assigned to each. The AIS severity codes are not mentioned on the form. Abstractors are instructed to code all injuries for an episode. A computer algorithm has been developed and implemented to assign the AIS severity codes. Accuracy and precision improved markedly by eliminating the need to make severity scoring decisions during the AIS coding process.

Epidemiologic Methods↗

PubMed1988

The Abbreviated Injury Scale, 1985 revision: a condensed chart for clinical use.

Refinements in injury scaling of blunt trauma and expansion to include penetrating injuries have resulted in the publication of the 1985 revision of the Abbreviated Injury Scale (AIS). To simplify use of this scale for Injury Severity Scoring in clinical practice, two 8 1/2" x 11" charts, which can be included in the patient record, have been developed from the AIS dictionary. Separate charts apply to blunt and penetrating trauma. Previous experience with a condensed AIS chart (CAIS) using the 1980 revision of the dictionary suggests that such edited revisions can result in accurate injury scaling in more than 95% of patients presenting to a Level I Trauma Center. The availability of such charts assists in calculation of the ISS soon after admission, which may prove to be a valuable teaching tool and useful in resource allocation, audit, and assessment for prospective payment.

Humans↗

PubMed1997

Trauma registry injury coding is superfluous: a comparison of outcome prediction based on trauma registry International Classification of Diseases-Ninth Revision (ICD-9) and hospital information system ICD-9 codes.

BACKGROUND: Trauma registries are an essential but expensive tool for monitoring trauma system performance. The time required to catalog patients' injuries is the source of much of this expense. Typically, 15 minutes of chart review per patient are required, which in a busy trauma center may represent 25% of a full-time employee. We hypothesized that International Classification of Disease-Ninth Revision (ICD-9) codes generated by the hospital information system (HI) would be similar to those coded by a dedicated trauma registrar (TR) and would be as accurate as TR ICD-9 codes in predicting outcome. METHODS: One thousand eight hundred twelve patients admitted to a Level I trauma center during 2 years had International Classification of Disease Injury Severity Scores (ICISS) calculated based on HI and TR ICD-9 codes. The relative predictive powers of these two ICISSs were then compared for every patient using Receiver Operator Characteristic Curve Area (ROC) and Hosmer Lemeshow Statistics. RESULTS: Eighty-nine percent of patients (1,608 of 1,812) had identical HI and TR ICISSs. Eleven patients' ICISSs differed by >0.1, and only two patients' scores differed by >0.2. ICISS proved to be a powerful predictor of outcome whether derived from HI (ROC = 0.884; 95% confidence interval (CI) = 0.850-0.917) or TR (ROC = 0.872; 95% CI = 0.837-0.908). Although these predictive powers were not significantly different (p = 0.076), the trend was for HI to perform better than TR. ISS calculated for the same data set using the MacKenzie dictionary proved significantly less predictive of outcome than either ICISS (ROC(MacKenzie) = 0.843; 95% CI = 0.792-0.884; p = 0.034). CONCLUSION: We conclude that in our hospital TR data on individual injuries can be replaced by HI data without loss of predictive power. ISS based on the MacKenzie dictionary should be abandoned because it is much less predictive of outcome than ICISS.

Adolescent↗

PubMed1993

Concurrent validity of the ERGOS work simulator versus conventional functional capacity evaluation techniques in a workers' compensation population.

A prospective blinded cohort study was performed in an interdisciplinary vocational evaluation program to investigate the concurrent validity of the ERGOS work simulator in comparison to current methods of evaluation. Seventy men and eight women, aged 22 to 64 years, who attended for a 2-week physical capacity assessment participated in the study. Physical activity factors as defined by the Canadian Classification and Dictionary of Occupations and the American Dictionary of Occupational Titles were assessed for all subjects under three evaluation conditions: the ERGOS work simulator, an exercise-oriented physical evaluation by a rehabilitation therapist, and performance of project-format industrial tasks. In addition, 17 men and 7 women were assessed with VALPAR standardized work sample tests. The statistical significance of the relationships between results obtained by the various evaluation methods was examined. There was a strong correlation between the ERGOS dynamometry and the clinical assessment of strength for all standard movements tested (P < .001). The Methods Time Measurement rating by the ERGOS for dexterity variables, according to industrial engineering standards, tended to rate subjects as more restricted than did the clinical evaluators. There was a significant relationship (P < .001) between the "overall physical activity rating" from ERGOS dynamometry, clinical evaluation, and performance in an industrial workshop setting. There was also a significant relationship (P < .001) between the "overall physical activity rating" for endurance of a full workday produced by the 4-hour ERGOS evaluation and by the 2-week functional capacity evaluation.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗