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At least 19 recordsLinked to original sources
PubMedDate not supplied

Evaluation of controlled vocabulary resources for development of a consumer entry vocabulary for diabetes.

BACKGROUND: Digital information technology can facilitate informed decision making by individuals regarding their personal health care. The digital divide separates those who do and those who do not have access to or otherwise make use of digital information. To close the digital divide, health care communications research must address a fundamental issue, the consumer vocabulary problem: consumers of health care, at least those who are laypersons, are not always familiar with the professional vocabulary and concepts used by providers of health care and by providers of health care information, and, conversely, health care and health care information providers are not always familiar with the vocabulary and concepts used by consumers. One way to address this problem is to develop a consumer entry vocabulary for health care communications. OBJECTIVES: To evaluate the potential of controlled vocabulary resources for supporting the development of consumer entry vocabulary for diabetes. METHODS: We used folk medical terms from the Dictionary of American Regional English project to create extended versions of 3 controlled vocabulary resources: the Unified Medical Language System Metathesaurus, the Eurodicautom of the European Commission's Translation Service, and the European Commission Glossary of popular and technical medical terms. We extracted consumer terms from consumer-authored materials, and physician terms from physician-authored materials. We used our extended versions of the vocabulary resources to link diabetes-related terms used by health care consumers to synonymous, nearly-synonymous, or closely-related terms used by family physicians. We also examined whether retrieval of diabetes-related World Wide Web information sites maintained by nonprofit health care professional organizations, academic organizations, or governmental organizations can be improved by substituting a physician term for its related consumer term in the query. RESULTS: The Dictionary of American Regional English extension of the Metathesaurus provided coverage, either direct or indirect, of approximately 23% of the natural language consumer-term-physician-term pairs. The Dictionary of American Regional English extension of the Eurodicautom provided coverage for 16% of the term pairs. Both the Metathesaurus and the Eurodicautom indirectly related more terms than they directly related. A high percentage of covered term pairs, with more indirectly covered pairs than directly covered pairs, might be one way to make the most out of expensive controlled vocabulary resources. We compared retrieval of diabetes-related Web information sites using the physician terms to retrieval using related consumer terms We based the comparison on retrieval of sites maintained by non-profit healthcare professional organizations, academic organizations, or governmental organizations. The number of such sites in the first 20 Results from a search was increased by substituting a physician term for its related consumer term in the query. This suggests that the Dictionary of American Regional English extensions of the Metathesaurus and Eurodicautom may be used to provide useful links from natural language consumer terms to natural language physician terms. CONCLUSIONS: The Dictionary of American Regional English extensions of the Metathesaurus and Eurodicautom should be investigated further for support of consumer entry vocabulary for diabetes.

Community Participation↗
PubMed2002

Extension and integration of the gene ontology (GO): combining GO vocabularies with external vocabularies.

Structured vocabulary development enhances the management of information in biological databases. As information grows, handling the complexity of vocabularies becomes difficult. Defined methods are needed to manipulate, expand and integrate complex vocabularies. The Gene Ontology (GO) project provides the scientific community with a set of structured vocabularies to describe domains of molecular biology. The vocabularies are used for annotation of gene products and for computational annotation of sequence data sets. The vocabularies focus on three concepts universal to living systems, biological process, molecular function and cellular component. As the vocabularies expand to incorporate terms needed by diverse annotation communities, species-specific terms become problematic. In particular, the use of species-specific anatomical concepts remains unresolved. We present a method for expansion of GO into areas outside of the three original universal concept domains. We combine concepts from two orthogonal vocabularies to generate a larger, more specific vocabulary. The example of mammalian heart development is presented because it addresses two issues that challenge GO; inclusion of organism-specific anatomical terms, and proliferation of terms and relationships. The combination of concepts from orthogonal vocabularies provides a robust representation of relevant terms and an opportunity for evaluation of hypothetical concepts.

Animals↗
PubMedDate not supplied

Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public health.

The National Library of Medicine (NLM) and the Agency for Health Care Policy and Research (AHCPR) are sponsoring a test to determine the extent to which a combination of existing health-related terminologies covers vocabulary needed in health information systems. The test vocabularies are the 30 that are fully or partially represented in the 1996 edition of the Unified Medical Language System (UMLS) Metathesaurus, plus three planned additions: the portions of SNOMED International not in the 1996 Metathesaurus Read Clinical Classification, and the Logical Observations Identifiers, Names, and Codes (LOINC) system. These vocabularies are available to testers through a special interface to the Internet-based UMLS Knowledge Source Server. The test will determine the ability of the test vocabularies to serve as a source of controlled vocabulary for health data systems and applications. It should provide the basis for realistic resource estimates for developing and maintaining a comprehensive "standard" health vocabulary that is based on existing terminologies.

Computer Communication Networks↗
PubMed2002

Early lexical development in German: a study on vocabulary growth and vocabulary composition during the second and third year of life.

This paper focuses on aspects of early lexical acquisition in German. There have been conflicting results in the literature concerning both the pattern of vocabulary growth and the composition of the early lexicon. Our study describes the development of various categories of words and questions the preponderance of nouns in spontaneous speech. 32 children were studied longitudinally through recordings made at age 1;1, 1;3, 1;9 and 3;0. The following properties of the data were investigated: vocabulary size in relation to age, frequency of word use, and distribution of word categories. The results show that use of both types and tokens increases with time. A trend analysis indicates an exponential increase in vocabulary production in the second year, followed by a further expansion. This vocabulary spurt-like pattern can be observed in the use of word types and tokens. The findings in regard to vocabulary composition illustrate the dynamics present in the development of word categories. In the beginning, children use mostly relational words, personal-social words and some onomatopoeic terms. These categories are gradually complemented with nouns, verbs, function words and other words so that we see a balanced lexicon by 3;0. Trend analyses clarify characteristic developmental patterns in regard to certain word categories. Our spontaneous speech data does not support a strong noun-bias hypothesis.

Age Factors↗
PubMed1977

Validity of the Peabody Picture Vocabulary Test as a measure of hearing vocabulary in mentally retarded and normal children.

The Peabody Picture Vocabulary Test (PPVT) and the auditory and visual subtests of the Illinois Test of Psycholinguistic Abilities (ITPA) were administered to 48 normal and 48 retarded subjects. Results suggested that the PPVT is not an adequate measure of hearing vocabulary for mentally retarded subjects. Half of each group was given the visual reception subtest of the ITPA in a form which had been modified to control the visual memory variable. No differences were found as a function of that variable. It was concluded that caution should be exercised when using the PPVT as a clinical diagnostic procedure in the assessment of receptive auditory vocabulary.

Child↗
PubMed1999

Receptive sign vocabulary tests: tests of single-word vocabulary or iconicity?

First-, fourth-, and ninth-grade hearing students were administered randomly selected items from the Carolina Picture Vocabulary Test (CPVT; Layton & Holmes, 1985) to determine the degree to which signs used in the CPVT are iconic (see note) and can actually convey a sign's meaning at the moment of testing, thus providing an inflated vocabulary score. Hearing students were tested because they had no prior sign knowledge or experience. Results indicate that the signs used in the CPVT are sufficiently iconic to enable students unfamiliar with signs to identify a test picture; 73% of their responses were correct when chance selection was 25%. Such findings signal potential problems with existing receptive sign vocabulary tests; consequently, test results should be interpreted cautiously. Note: Not all signs are iconic. Iconic signs have semantic features nested in their formation, location, and movement that visually convey enough information to manifest word meaning. Formation, location, and movement are also called cheremic features of sign.

Adolescent↗
PubMed2001

Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators.

Developers and purchasers of controlled health terminologies require valid mechanisms for comparing terminological systems. By Controlled Health Vocabularies we refer to terminologies and terminological systems designed to represent clinical data at a granularity consistent with the practice of today's healthcare delivery. Comprehensive criterion for the evaluation of such systems are lacking and the known criteria are inconsistently applied. Although there are many papers, which describe specific desirable features of a controlled health vocabulary, to date there is not a consistent guide for evaluators of terminologies to reference, which will help them compare implementations of terminological systems on an equal footing 1,2 This guideline serves to fill the gap between academic enumeration of desirable terminological characteristics and the practical implementation or rigorous evaluations which will yield comparable data regarding the quality of one or more controlled health vocabularies.

Medical Informatics↗
PubMed2001

Assessment of vocabulary development in children after cochlear implantation.

OBJECTIVES: To assess vocabulary development in children following cochlear implantation and to evaluate the effect of age at implantation on performance. DESIGN: Retrospective study (mean follow-up, 3(1/2) years). SETTING: Tertiary center. PATIENTS: Children with prelingual deafness provided with a cochlear implant between 1988 and 1999, who serially performed the Peabody Picture Vocabulary Test-Revised (60 patients) and the Expressive One-Word Picture Vocabulary Test-Revised (52 patients). The children were subgrouped into those receiving implants at younger than 5 years and at 5 years or older. OUTCOME MEASURES: Age-equivalent vocabulary test score and gap index (chronological age minus the age-equivalent score, divided by the chronological age at the time of testing) were calculated. For each test, the following were performed: calculation of rate of change for age-equivalent score; comparison of earliest and latest gap indices means (the cohort and intergroup and intragroup comparison); and multiple regression analysis demonstrating the effect of age at implantation, sex, communication mode, etiology of deafness, and residual hearing on the rate of vocabulary development. RESULTS: Expressive and receptive vocabulary development rates were 0.93 and 0.71 (age-equivalent scores per year), respectively. Subgrouped by age at implantation, the children's rates (for both vocabularies) were not statistically different (Peabody Picture Vocabulary Test-Revised, P =.90; Expressive One-Word Picture Vocabulary Test-Revised, P =.23). The global latest gap indices were significantly less than the earliest (Peabody Picture Vocabulary Test-Revised, P =.048; Expressive One-Word Picture Vocabulary Test-Revised, P<.001), indicating an improvement in age-appropriate vocabulary development over time. The age subgroups demonstrated similar results, except for the younger group's receptive gap index. On multiple regression analysis, the significant predictive variables were residual hearing (Expressive One-Word Picture Vocabulary Test-Revised) and male sex and oral communication mode (Peabody Picture Vocabulary Test-Revised). CONCLUSIONS: Children with cochlear implants developed their vocabularies at rates that were sufficient to prevent an increase in their gap indices as related to ideal scores at testing. A late age at implantation does not singularly preclude beneficial development of vocabulary.

Age Factors↗
PubMed2001

Vocabulary development in Italian children: a longitudinal evaluation of quantitative and qualitative aspects.

In this study vocabulary development of a sample of 42 Italian children was evaluated through monthly administration of the Italian version of the CDI. Data collection started at 1;0-1;1 for 32 children and at 1;3-1;4 for the remaining subjects and continued until children's vocabulary reached 200 words. At fixed stages of vocabulary size (50, 100 and 200 words), individual differences in percentile scores and vocabulary composition were examined. Individual growth curves were analysed in order to verify the presence of a vocabulary spurt and the type of lexical items which contributed most to rapid acceleration in vocabulary growth. Stylistic differences in vocabulary composition were examined regarding the 'referential-expressive' distinction, controlling vocabulary size. Data have shown that general trends in vocabulary development are quite similar to those obtained for other languages using CDI adaptations. Moreover, all children in this sample eventually exhibited a vocabulary spurt, even if some can be defined as 'late spurters'. The type of lexical items which are learned during the spurt depend on both infant vocabulary size and referential score. About 28% of infants in this sample were defined 'referential' when their vocabulary size was about 50 words, but the stylistic differences disappeared at the 100- and 200-word stages. Composition of vocabulary did not differ in relation to precocity in reaching different stages of vocabulary development. The only exception was that infants who reached the 50-word stage first also had a vocabulary with a lower proportion of function words.

Child Language↗
PubMed1998

Sources of child vocabulary competence: a multivariate model.

This study examines sources of individual variation in child vocabulary competence in the context of a multivariate developmental ecological model. Maternal sociodemographic characteristics, personological characteristics, and vocabulary, as well as child gender, social competence, and vocabulary competence were evaluated simultaneously in 126 children aged 1;8 and their mothers. Measures of child vocabulary competence included two measures each of spontaneous speech, experimenter assessments, and maternal reports. Maternal measures, from proximal to distal, included vocabulary, verbal intelligence, personality, attitudes toward parenting, knowledge of parenting, and SES. Structural equation modelling supported several direct unique predictive relations: child gender (girls higher) and social competence as well as maternal attitudes toward parenting predicted child vocabulary competence, and mothers' vocabulary predicted child vocabulary comprehension and two measures of mother-reported child vocabulary expression. In addition, children's vocabulary competence was influenced indirectly by mothers' vocabulary, social personality, and knowledge of child development. Maternal vocabulary itself was positively influenced by SES, maternal verbal intelligence, and mothers' knowledge about parenting. Individual variation in child vocabulary competence might best be understood as arising within a nexus of contextual factors both proximal and distal to the child.

Adult↗
PubMed2003

A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies.

BACKGROUND: Large biomedical data sets have become increasingly important resources for medical researchers. Modern biomedical data sets are annotated with standard terms to describe the data and to support data linking between databases. The largest curated listing of biomedical terms is the the National Library of Medicine's Unified Medical Language System (UMLS). The UMLS contains more than 2 million biomedical terms collected from nearly 100 medical vocabularies. Many of the vocabularies contained in the UMLS carry restrictions on their use, making it impossible to share or distribute UMLS-annotated research data. However, a subset of the UMLS vocabularies, designated Category 0 by UMLS, can be used to annotate and share data sets without violating the UMLS License Agreement. METHODS: The UMLS Category 0 vocabularies can be extracted from the parent UMLS metathesaurus using a Perl script supplied with this article. There are 43 Category 0 vocabularies that can be used freely for research purposes without violating the UMLS License Agreement. Among the Category 0 vocabularies are: MESH (Medical Subject Headings), NCBI (National Center for Bioinformatics) Taxonomy and ICD-9-CM (International Classification of Diseases-9-Clinical Modifiers). RESULTS: The extraction file containing all Category 0 terms and concepts is 72,581,138 bytes in length and contains 1,029,161 terms. The UMLS Metathesaurus MRCON file (January, 2003) is 151,048,493 bytes in length and contains 2,146,899 terms. Therefore the Category 0 vocabularies, in aggregate, are about half the size of the UMLS metathesaurus.A large publicly available listing of 567,921 different medical phrases were automatically coded using the full UMLS metatathesaurus and the Category 0 vocabularies. There were 545,321 phrases with one or more matches against UMLS terms while 468,785 phrases had one or more matches against the Category 0 terms. This indicates that when the two vocabularies are evaluated by their fitness to find at least one term for a medical phrase, the Category 0 vocabularies performed 86% as well as the complete UMLS metathesaurus. CONCLUSION: The Category 0 vocabularies of UMLS constitute a large nomenclature that can be used by biomedical researchers to annotate biomedical data. These annotated data sets can be distributed for research purposes without violating the UMLS License Agreement. These vocabularies may be of particular importance for sharing heterogeneous data from diverse biomedical data sets. The software tools to extract the Category 0 vocabularies are freely available Perl scripts entered into the public domain and distributed with this article.

Algorithms↗
PubMedDate not supplied

Evaluating the coverage of controlled health data terminologies: report on the results of the NLM/AHCPR large scale vocabulary test.

OBJECTIVE: To determine the extent to which a combination of existing machine-readable health terminologies cover the concepts and terms needed for a comprehensive controlled vocabulary for health information systems by carrying out a distributed national experiment using the Internet and the UMLS Knowledge Sources, lexical programs, and server. METHODS: Using a specially designed Web-based interface to the UMLS Knowledge Source Server, participants searched the more than 30 vocabularies in the 1996 UMLS Metathesaurus and three planned additions to determine if concepts for which they desired controlled terminology were present or absent. For each term submitted, the interface presented a candidate exact match or a set of potential approximate matches from which the participant selected the most closely related concept. The interface captured a profile of the terms submitted by the participant and for each term searched, information about the concept (if any) selected by the participant. The term information was loaded into a database at NLM for review and analysis and was also available to be downloaded by the participant. A team of subject experts reviewed records to identify matches missed by participants and to correct any obvious errors in relationships. The editors of SNOMED International and the Read Codes were given a random sample of reviewed terms for which exact meaning matches were not found to identify exact matches that were missed or any valid combinations of concepts that were synonymous to input terms. The 1997 UMLS Metathesaurus was used in the semantic type and vocabulary source analysis because it included most of the three planned additions. RESULTS: Sixty-three participants submitted a total of 41,127 terms, which represented 32,679 normalized strings. More than 80% of the terms submitted were wanted for parts of the patient record related to the patient's condition. Following review, 58% of all submitted terms had exact meaning matches in the controlled vocabularies in the test, 41% had related concepts, and 1% were not found. Of the 28% of the terms which were narrower in meaning than a concept in the controlled vocabularies, 86% shared lexical items with the broader concept, but had additional modification. The percentage of exact meanings matches varied by specialty from 45% to 71%. Twenty-nine different vocabularies contained meanings for some of the 23,837 terms (a maximum of 12,707 discrete concepts) with exact meaning matches. Based on preliminary data and analysis, individual vocabularies contained < 1% to 63% of the terms and < 1% to 54% of the concepts. Only SNOMED International and the Read Codes had more than 60% of the terms and more than 50% of the concepts. CONCLUSIONS: The combination of existing controlled vocabularies included in the test represents the meanings of the majority of the terminology needed to record patient conditions, providing substantially more exact matches than any individual vocabulary in the set. From a technical and organizational perspective, the test was successful and should serve as a useful model, both for distributed input to the enhancement of controlled vocabularies and for other kinds of collaborative informatics research.

Evaluation Studies as Topic↗
PubMedDate not supplied

The effect of dimension and vocabulary age on rapid picture naming in children.

UNLABELLED: This investigation involved measures of the reaction times of normally developing children who were asked to name a series of centrally presented picture stimuli of varying vocabulary age and dimension. Results of the ANOVA on reaction times indicated a significant main effect of vocabulary level and an interaction of Dimension x Vocabulary level for the normally developing children. Post-hoc tests showed significant differences between two- and three-dimensional pictures for higher-level vocabulary items, but not for lower-level vocabulary items. This finding indicates that central operations involved in picture naming are influenced differentially by the physical characteristics of the stimulus items. The finding that two-dimensional higher-level vocabulary items were associated with significantly longer reaction times than the three-dimensional higher-level vocabulary suggests that dimensionality may be a critical feature for rapid lexical access for higher-level picture vocabulary. Clinically, the employment of three-dimensional forms may facilitate access to stored visual object memory for advanced levels of picture vocabulary. LEARNING OUTCOMES: As a result of this activity, participants will be able to (1) identify the various visual and verbal processes involved in the naming of pictures; and (2) understand the influence of physical characteristics of pictures on reaction time in rapid naming tasks.

Age Factors↗