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PubMed2002

Paraphrasing for condensation in journal abstracting.

When authors of empirical science articles write abstracts, they employ a wide variety of distinct linguistic operations which interact to condense and rephrase a subset of sentences from the source text. An on-going comparison of biological and biomedical journal articles with their author-written abstracts is providing a basis for a more linguistically detailed model of abstract derivation using syntactic representations of selected source sentences. The description makes use of rich dictionary information to formulate paraphrasing rules of differing degrees of generality, including some which are sublanguage-specific, and others which appear valid in several languages when formulated using "lexical functions" to express important semantic relationships between lexical items. Some paraphrase operations may use both lexical functions and rhetorical relations between sentences to reformulate larger chunks of text in a concise abstract sentence. The descriptive framework is computable and utilizes existing linguistic resources.

Abstracting and Indexing↗
PubMed2002

Finding relevant references to genes and proteins in Medline using a Bayesian approach.

MOTIVATION: Mining the biomedical literature for references to genes and proteins always involves a tradeoff between high precision with false negatives, and high recall with false positives. Having a reliable method for assessing the relevance of literature mining results is crucial to finding ways to balance precision and recall, and for subsequently building automated systems to analyze these results. We hypothesize that abstracts and titles that discuss the same gene or protein use similar words. To validate this hypothesis, we built a dictionary- and rule-based system to mine Medline for references to genes and proteins, and used a Bayesian metric for scoring the relevance of each reference assignment. RESULTS: We analyzed the entire set of Medline records from 1966 to late 2001, and scored each gene and protein reference using a Bayesian estimated probability (EP) based on word frequency in a training set of 137837 known assignments from 30594 articles to 36197 gene and protein symbols. Two test sets of 148 and 150 randomly chosen assignments, respectively, were hand-validated and categorized as either good or bad. The distributions of EP values, when plotted on a log-scale histogram, are shown to markedly differ between good and bad assignments. Using EP values, recall was 100% at 61% precision (EP=2 x 10(-5)), 63% at 88% precision (EP=0.008), and 10% at 100% precision (EP=0.1). These results show that Medline entries discussing the same gene or protein have similar word usage, and that our method of assessing this similarity using EP values is valid, and enables an EP cutoff value to be determined that accurately and reproducibly balances precision and recall, allowing automated analysis of literature mining results. .

Abstracting and Indexing↗
PubMed2003

caCORE: a common infrastructure for cancer informatics.

MOTIVATION: Sites with substantive bioinformatics operations are challenged to build data processing and delivery infrastructure that provides reliable access and enables data integration. Locally generated data must be processed and stored such that relationships to external data sources can be presented. Consistency and comparability across data sets requires annotation with controlled vocabularies and, further, metadata standards for data representation. Programmatic access to the processed data should be supported to ensure the maximum possible value is extracted. Confronted with these challenges at the National Cancer Institute Center for Bioinformatics, we decided to develop a robust infrastructure for data management and integration that supports advanced biomedical applications. RESULTS: We have developed an interconnected set of software and services called caCORE. Enterprise Vocabulary Services (EVS) provide controlled vocabulary, dictionary and thesaurus services. The Cancer Data Standards Repository (caDSR) provides a metadata registry for common data elements. Cancer Bioinformatics Infrastructure Objects (caBIO) implements an object-oriented model of the biomedical domain and provides Java, Simple Object Access Protocol and HTTP-XML application programming interfaces. caCORE has been used to develop scientific applications that bring together data from distinct genomic and clinical science sources. AVAILABILITY: caCORE downloads and web interfaces can be accessed from links on the caCORE web site (http://ncicb.nci.nih.gov/core). caBIO software is distributed under an open source license that permits unrestricted academic and commercial use. Vocabulary and metadata content in the EVS and caDSR, respectively, is similarly unrestricted, and is available through web applications and FTP downloads. SUPPLEMENTARY INFORMATION: http://ncicb.nci.nih.gov/core/publications contains links to the caBIO 1.0 class diagram and the caCORE 1.0 Technical Guide, which provide detailed information on the present caCORE architecture, data sources and APIs. Updated information appears on a regular basis on the caCORE web site (http://ncicb.nci.nih.gov/core).

Animals↗
PubMed2003

The Protein Data Bank and structural genomics.

The Protein Data Bank (PDB; http://www.pdb.org/) continues to be actively involved in various aspects of the informatics of structural genomics projects--developing and maintaining the Target Registration Database (TargetDB), organizing data dictionaries that will define the specification for the exchange and deposition of data with the structural genomics centers and creating software tools to capture data from standard structure determination applications.

Animals↗
PubMedDate not supplied

The PDA as a reference tool: libraries' role in enhancing nursing education.

"The PDA as a Reference Tool: The Libraries' Role in Enhancing Nursing Education" is a pilot project funded by the University of Massachusetts President's Office Information Technology Council through their Professional Development Grant program in 2004. The project's goal is to offer faculty and students in nursing programs at two University of Massachusetts campuses access to an array of medical reference information, such as handbooks, dictionaries, calculators, and diagnostic tools, on small handheld computers called personal digital assistants. Through exposure to the variety of information resources in this digital format, participants can discover and explore these resources at no personal financial cost. Participants borrow handhelds from the University Library's circulation desks. The libraries provide support in routine resynchronizing of handhelds to update information. This report will discuss how the projects were administered, what we learned about what did and did not work, the problems and solutions, and where we hope to go from here.

Advertising↗
PubMedDate not supplied

Improving the human readability of Arden Syntax medical logic modules using a concept-oriented terminology and object-oriented programming expressions.

Medical logic modules are a procedural representation for sharing task-specific knowledge for decision support systems. Based on the premise that clinicians may perceive object-oriented expressions as easier to read than procedural rules in Arden Syntax-based medical logic modules, we developed a method for improving the readability of medical logic modules. Two approaches were applied: exploiting the concept-oriented features of the Medical Entities Dictionary and building an executable Java program to replace Arden Syntax procedural expressions. The usability evaluation showed that 66% of participants successfully mapped all Arden Syntax rules to Java methods. These findings suggest that these approaches can play an essential role in the creation of human readable medical logic modules and can potentially increase the number of clinical experts who are able to participate in the creation of medical logic modules. Although our approaches are broadly applicable, we specifically discuss the relevance to concept-oriented nursing terminologies and automated processing of task-specific nursing knowledge.

Attitude of Health Personnel↗
PubMed2005

Toward semantic interoperability in home health care: formally representing OASIS items for integration into a concept-oriented terminology.

OBJECTIVE: The authors aimed to (1) formally represent OASIS-B1 concepts using the Logical Observation Identifiers, Names, and Codes (LOINC) semantic structure; (2) demonstrate integration of OASIS-B1 concepts into a concept-oriented terminology, the Medical Entities Dictionary (MED); (3) examine potential hierarchical structures within LOINC among OASIS-B1 and other nursing terms; and (4) illustrate a Web-based implementation for OASIS-B1 data entry using Dialogix, a software tool with a set of functions that supports complex data entry. DESIGN AND MEASUREMENTS: Two hundred nine OASIS-B1 items were dissected into the six elements of the LOINC semantic structure and then integrated into the MED hierarchy. Each OASIS-B1 term was matched to LOINC-coded nursing terms, Home Health Care Classification, the Omaha System, and the Sign and Symptom Check-List for Persons with HIV, and the extent of the match was judged based on a scale of 0 (no match) to 4 (exact match). OASIS-B1 terms were implemented as a Web-based survey using Dialogix. RESULTS: Of 209 terms, 204 were successfully dissected into the elements of the LOINC semantics structure and integrated into the MED with minor revisions of MED semantics. One hundred fifty-one OASIS-B1 terms were mapped to one or more of the LOINC-coded nursing terms. CONCLUSION: The LOINC semantic structure offers a standard way to add home health care data to a comprehensive patient record to facilitate data sharing for monitoring outcomes across sites and to further terminology management, decision support, and accurate information retrieval for evidence-based practice. The cross-mapping results support the possibility of a hierarchical structure of the OASIS-B1 concepts within nursing terminologies in the LOINC database.

Dictionaries, Medical as Topic↗
PubMed2004

Using MedDRA: implications for risk management.

The introduction of MedDRA, the Medical Dictionary for Regulatory Activities, as a standardised terminology may have a major impact on the performance of risk management. Thus, MedDRA is likely to have an important effect on the analysis of clinical trial safety data. Review of the most commonly used terms in clinical trial tables from the labelling of ten products indicated that each adverse event could be represented by many MedDRA preferred terms; this might theoretically lead to failure to identify differences in adverse event incidence between treatment arms. Possible solutions are proposed. The use of MedDRA in spontaneous reporting systems is a regulatory requirement in some countries. Variability in modes of implementation and use of the terminology are discussed; these may impose additional limitations on any use of spontaneous data for comparative purposes. There are important differences in the ways that safety databases interface with MedDRA and uncertainty about the most appropriate way to manage version changes. The characteristics of MedDRA must be taken into account when establishing methods for signal detection and its use will affect the retrieval of similar cases as required for signal evaluation. The use of MedDRA in the periodic safety update report is discussed. The possible use of MedDRA in pharmacoepidemiology is highly relevant to risk management, and some issues are briefly outlined. With regard to communication of risk, if MedDRA is introduced into existing product labelling, care must be taken that the change itself does not cause misunderstanding; the most appropriate use of MedDRA in this regard remains to be determined. There is a need for careful evaluation of MedDRA in fulfilling its various functions in pharmacovigilance, followed by definitive regulatory guidance on its use.

Clinical Trials as Topic↗
PubMed2005

Appraisal of the MedDRA conceptual structure for describing and grouping adverse drug reactions.

Computerised queries in spontaneous reporting systems for pharmacovigilance require reliable and reproducible coding of adverse drug reactions (ADRs). The aim of the Medical Dictionary for Regulatory Activities (MedDRA) terminology is to provide an internationally approved classification for efficient communication of ADR data between countries. Several studies have evaluated the domain completeness of MedDRA and whether encoded terms are coherent with physicians' original verbatim descriptions of the ADR. MedDRA terms are organised into five levels: system organ class (SOC), high level group terms (HLGTs), high level terms (HLTs), preferred terms (PTs) and low level terms (LLTs). Although terms may belong to different SOCs, no PT is related to more than one HLT within the same SOC. This hierarchical property ensures that terms cannot be counted twice in statistical studies, though it does not allow appropriate semantic grouping of PTs. For this purpose, special search categories (SSCs) [collections of PTs assembled from various SOCs] have been introduced in MedDRA to group terms with similar meanings. However, only a small number of categories are currently available and the criteria used to construct these categories have not been clarified. The objective of this work is to determine whether MedDRA contains the structural and terminological properties to group semantically linked adverse events in order to improve the performance of spontaneous reporting systems. Rossi Mori classifies terminological systems in three categories: first-generation systems, which represent terms as strings; second-generation systems, which dissect terminological phrases into a set of simpler terms; and third-generation systems, which provide advanced features to automatically retrieve the position of new terms in the classification and group sets of meaning-related terms. We applied Cimino's desiderata to show that MedDRA is not compatible with the properties of third-generation systems. Consequently, no tool can help for the automated positioning of new terms inside the hierarchy and SSCs have to be entered manually rather than automatically using the MedDRA files. One solution could be to link MedDRA to a third-generation system. This would allow the current MedDRA structure to be kept to ensure that end users have a common view on the same data and the addition of new computational properties to MedDRA.

Adverse Drug Reaction Reporting Systems↗
PubMed2004

[The chemical entries of Charles Gerhardt in Dictionnaire universel des Sciences, des Lettres et des Arts by Marie-Nicolas Bouillet].

Charles Gerhardt (1816-1856) is known as the founder of modern organic chemistry. He wrote the chemical entries of the dictionary managed by Marie-Nicolas Bouillet (1798-1864), who was a philosopher. This great deal of work was done between 1849 and 1853. It accounts for didactic and militant purposes of Gerhardt. The whole entries set up a true treatise of chemistry, and reflect the synthetic mind of their author.

Chemistry↗
PubMed2005

National data elements for the clinical management of acute coronary syndromes.

Patients with acute coronary syndromes represent a clinically diverse group and their care remains heterogeneous. These patients account for a significant burden of morbidity and mortality in Australia. Optimal patient outcomes depend on rapid diagnosis, accurate risk stratification and the effective implementation of proven therapies, as advocated by clinical guidelines. The challenge is in effectively applying evidence in clinical practice. Objectivity and standardised quantification of clinical practice are essential in understanding the evidence-practice gap. Observational registries are key to understanding the link between evidence-based medicine, clinical practice and patient outcome. Data elements for monitoring clinical management of patients with acute coronary syndromes have been adapted from internationally accepted definitions and incorporated into the National Health Data Dictionary, the national standard for health data definitions in Australia. Widespread use of these data elements will assist in the local development of "quality-of-care" initiatives and performance indicators, facilitate collaboration in cardiovascular outcomes research, and aid in the development of electronic data collection methods.

Acute Disease↗
PubMed1995

Economics 101: exploring the land of costs.

The word "cost" is a slippery, chameleon-like beast that changes its meaning to suit the occasion. The author's "economish" dictionary will help you survive the purchasing jungle.

Accounting↗
PubMed2000

A toolset for medical text processing.

The processing of medical texts is a burden in the absence of a toolset designed for simple operations such as recognizing morphological variants, updating and accessing a word dictionary of the domain and segmenting words with multiple morpho-semantems. The apparent simplicity of these basic operations is an illusion because it soon becomes clear that quality implementation is a long-term task. Coherency between subtasks may be lacking unless strict rules are enforced. In fact, good tools are rarely available or have not been tailored for the medical profession. This paper aims at defining a complete toolset for medical word processing. In addition, it provides relevant examples of the inherent difficulties of this task. It reports on typical results that can be expected from an industry-standard implementation.

Artificial Intelligence↗
PubMed2001

["De morbis qui in superficie corporis videntur" (St. Isidore of Seville, 621 A.D.) the first dermatology text in Europe].

San Isidoro of Sevilla (562-636) was a learned Spaniard of the early Middle Ages. His principal work, the Etymologies, is an encyclopedic treatise which analyzes the origin and meaning of about 5,500 terms corresponding to the different knowledge of his era. Liber IV of the Etymologies is dedicated to Medicine, and one of his chapters, titled De morbis qui in superficie corporis videntur (The diseases that are seen on the skin surface), studies 32 terms corresponding to skin diseases, so that this chapter represents the first text dedicated specifically to Dermatology in Europe. At the same time, according to the general plan of the work that includes each term with its origin and its definition, Liber IV (De Medicina) would be the oldest medical terminology dictionary known.

Dermatology↗
PubMedDate not supplied

[Jean-Charles Sournia's role and the medical terms].

Not only J. Ch. Sournia's stayed in the Middle East but his feeling for foreign languages allowed him to acquire a wide-ranging knowledge in languages and civilisations. So, after he has been elected Member of "Académie Nationale de Médecine", he became the Chairman of the Language Committee. He directed the edition of the Dictionary of the Academy of Medicine he could not lead to its achievement. As an enthusiastic and smart scholar, J.-Ch. Sournia carried on the idea of a humane practise of medicine. He often thought of the future and the evolution of medicine and his successors have to carry on his work.

Dictionaries, Medical as Topic↗
PubMed2003

Playing biology's name game: identifying protein names in scientific text.

A growing body of work is devoted to the extraction of protein or gene interaction information from the scientific literature. Yet, the basis for most extraction algorithms, i.e. the specific and sensitive recognition of protein and gene names and their numerous synonyms, has not been adequately addressed. Here we describe the construction of a comprehensive general purpose name dictionary and an accompanying automatic curation procedure based on a simple token model of protein names. We designed an efficient search algorithm to analyze all abstracts in MEDLINE in a reasonable amount of time on standard computers. The parameters of our method are optimized using machine learning techniques. Used in conjunction, these ingredients lead to good search performance. A supplementary web page is available at http://cartan.gmd.de/ProMiner/.

Abstracting and Indexing↗
PubMedDate not supplied

[Once again on the professional language of epidemiologists].

Grounds for the adoption of a unified, commonly accessible, professional terminology by specialists are presented. The emphasis is made on the unification and uniformity of using the terms "epidemiological" and "epidemic". A small dictionary explaining the true or false sense of terms in epidemiology is proposed.

Epidemiology↗