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At least 253 records · Page 14Linked to original sources
PubMed2003

An architecture for standardized terminology services by wrapping and integration of existing applications.

Research on terminology services has resulted in development of applications and definition of standards, but has not yet led to widespread use of (standardized) terminology services in practice. Current terminology services offer functionality both for concept representation and lexical knowledge representation, hampering the possibility of combining the strengths of dedicated (concept and lexical) services. We therefore propose an extensible architecture in which concept-related and lexicon-related components are integrated and made available through a uniform interface. This interface can be extended in order to conform to existing standards, making it possible to use dedicated (third-party) components in a standardized way. As a proof of concept and a reference implementation, a SOAP-based Java implementation of the terminology service is being developed, providing wrappers for Protégé and UMLS Knowledge Source Server. Other systems, such as the Description Logic-based reasoner RACER can be easily integrated by implementation of an appropriate wrapper.

Software↗
PubMed2003

Does GEM-encoding clinical practice guidelines improve the quality of knowledge bases? A study with the rule-based formalism.

The aim of this work was to determine whether the GEM-encoding step could improve the representation of clinical practice guidelines as formalized knowledge bases. We used the 1999 Canadian recommendations for the management of hypertension, chosen as the knowledge source in the ASTI project. We first clarified semantic ambiguities of therapeutic sequences recommended in the guideline by proposing an interpretative framework of therapeutic strategies. Then, after a formalization step to standardize the terms used to characterize clinical situations, we created the GEM-encoded instance of the guideline. We developed a module for the automatic derivation of a rule base, BR-GEM, from the instance. BR-GEM was then compared to the rule base, BR-ASTI, embedded within the critic mode of ASTI, and manually built by two physicians from the same Canadian guideline. As compared to BR-ASTI, BR-GEM is more specific and covers more clinical situations. When evaluated on 10 patient cases, the GEM-based approach led to promising results.

Artificial Intelligence↗
PubMed2004

Knowledge sharing and information integration in healthcare using ontologies and deductive databases.

This paper describes a method for using Semantic Web technologies for sharing knowledge in healthcare. It combines deductive databases and ontologies, so that it is possible to extract knowledge that has not been explicitly declared within the database. A representation of the UMLS (Unified Medical Language System) Semantic Network and Metathesaurus was created using the RDF standard, in order to represent the basic medical ontology. The inference over the knowledge base is done by the TRI-DEDALO System, a deductive data-base created to query and update RDF based knowledge sources as well as conventional relational databases. Finally, an ontology was created for the Brazilian National Health Card data interchange format, a standard to capture and transmit health encounter information throughout the country. This paper demonstrates how this approach can be used to integrate heterogeneous information and to answer complex queries in a real world environment.

Brazil↗
PubMed2004

A relation-centric query engine for the Foundational Model of Anatomy.

The Foundational Model of Anatomy (FMA), a detailed representation of the structural organization of the human body, was constructed to support the development of software applications requiring knowledge of anatomy. The FMA's focus on the structural relationships between anatomical entities distinguishes it from other current anatomical knowledge sources. We developed Emily, a query engine for the FMA, to enable users to explore the richness and depth of these relationships. Preliminary analysis suggests that Emily is capable of correctly processing real world anatomical queries provided they have been translated into a constrained form suitable for processing by the query engine.

Anatomy↗
PubMed2004

Design of a standards-based external rules engine for decision support in a variety of application contexts: report of a feasibility study at Partners HealthCare System.

This project explored functional requirements for an institution-wide method, at Partners HealthCare, for interpreting clinical knowledge for decision support. Such knowledge is currently incorporated in a variety of clinical applications, yet the methods of representation and of execution vary and the ability to author/edit the rules by human experts is limited. We expanded on a 2002 "Knowledge Inventory" at Partners to evaluate feasibility of designing a single representation approach entailing: (a) exploration of specific needs of different applications, in terms of kinds of response required (synchronous/asynchronous, time criticality, etc.), context (e.g., implied patient, time frame, or episode), and kinds of actions to be triggered; (b) kind of representation of knowledge and feasibility of casting knowledge in the form of if em leader then statements; and (c) data and knowledge resources used (implied data model, and particular knowledge sources and terminology sources). The result of analysis was to design an architecture to accomplish this goal. We also did preliminary analysis of requirements for authoring for such a representation, and for implementation.

Artificial Intelligence↗
PubMed2004

If ontology is the solution, what is the problem?

In this paper we show the usefulness of an ontological approach for solving some problems arising in medicine. We point out the relevance of terminological ontologies for disambiguating polysemous terms, for re-organizing very large corpora and detecting possible inconsistencies and for managing a catalog of bio-medical equipments. We also put in evidence the fundamental role played by ontologies when integration and interoperability of heterogeneous knowledge sources is needed, in particular in the field of clinical guidelines and evidence-based medicine.

Biomedical Engineering↗
PubMed2005

Health belief model about diabetes mellitus in Thailand: the culture consensus analysis.

BACKGROUND: Diabetes is a chronic disease, which requires patient participation. The outcome of treatment depends on the patient health belief model (HBM) and illness perception. OBJECTIVE: To evaluate the HBM and illness perception in diabetic patients by culture consensus analysis model. MATERIAL AND METHOD: Fifty diabetic patients were randomly selected at the out patient diabetic clinic from 4 hospitals, Maharaj Lampang hospital, Maharaj Nakorn rachasrima hospital, Hadyai hospital, and Lerdsin hospital to represent 4 regions of Thailand. Data from each patient was collected by using questionnaire. Anthropac version 4.98 was used to do consensus analysis RESULTS: Two-hundred diabetic patients from four political regions were assessed Only Songkla culture showed a diabetes heath belief pattern at the eigenvalue ratio at 3.8 and competency score at 0.72 +/- 11 (mean +/- SD). This pattern was created because Sonkla had more diabetes knowledge sources compared to other regions (p = 0.01). The ability of Songkla member to fit in the group was not related to any medical and socioeconomic factor (p > 0.05). The authors postulated that past experience or culture might determine this. Songkla diabetes beliefs were described and compared to biomedically correct information. The treatment process based on HBM and illness perception concepts were also discussed. The result of the research led to a Lerdsin diabetes self help group in the hospital. CONCLUSION: From this study, Thailand does not have HBM about diabetes mellitus. Only the Songkla community does. Past experience and culture might determine the pattern of HBM in this community.

Adult↗
PubMed2005

Are there differences in online resources for answering primary care questions?

This study searched two different online knowledge sources in order to evaluate their content coverage. UpToDate was selected as the subscription resource and the National Guidelines Clearinghouse was selected as the publicly available resource. Using the Clinical Questions Collection, it was determined that UpToDate covered 10.4% more content although neither resources provides complete coverage. Current practice guidelines address at most two-thirds of clinical questions.

Humans↗
PubMedDate not supplied

Cyberchondriacs.

Over 110 million Americans have accessed the internet for healthcare information. This information is often used in medical consultations and possibly contributing to increasing health care burdens. Although well informed patients are an advantage in disease management, the quality and reliability of information online is variable. Adolescents today have grown up with the Internet as a primary knowledge source, but still lack the skills to effectively filter credible information. Voluntary standards on health information have been attempted by Health on the Net Foundation; however their success has been limited, mainly due to the fact that most people searching for health information on line use a search engine rather than a specific site. This makes regulations almost impossible. Cyberchondriacs, a term used to describe anyone who seeks health-related information on the Internet, are not only at risk of acquiring unreliable information on line and therefore potential unnecessary anxiety, but they could also be financially exploited, for example, by e-health organisations and pharmaceutical companies. Moreover, the vulnerable e-health seeker, such as the inexperienced adolescent, is able to buy any quantity of nearly any medication on-line. Reasons for patients seeking information on line are varied, but include not having enough time at consultations. To try to address these issues, organisations such as NHS direct have been set up but their success is difficult to measure due to a lack of data. However, potential exploitation of a vulnerable population and the motivations behind their search for information on the internet merit further study.

Adolescent↗
PubMed2006

Dealing with an information overload of health science data: structured utilisation of libraries, distributed knowledge in databases and Web content.

The organizational structures of web contents and electronic information resources must adapt to the demands of a growing volume of information and user requirements. Otherwise the information society will be threatened by disinformation. The biomedical sciences are especially vulnerable in this regard, since they are strongly oriented toward text-based knowledge sources. Here sustainable improvement can only be achieved by using a comprehensive, integrated approach that not only includes data management but also specifically incorporates the editorial processes, including structuring information sources and publication. The technical resources needed to effectively master these tasks are already available in the form of the data standards and tools of the Semantic Web. They include Rich Site Summaries (RSS), which have become an established means of distributing and syndicating conventional news messages and blogs. They can also provide access to the contents of the previously mentioned information sources, which are conventionally classified as 'deep web' content.

Computer Communication Networks↗
PubMed1991

Extending a natural language parser with UMLS knowledge.

Over the past several years our research efforts have been directed toward the identification of natural language processing methods and techniques for improving access to biomedical information stored in computerized form. To provide a testing ground for some of these ideas we have undertaken the development of SPECIALIST, a prototype system for parsing and accessing biomedical text. The system includes linguistic and biomedical knowledge. Linguistic knowledge involves rules and facts about the grammar of the language. Biomedical knowledge involves rules and facts about the domain of biomedicine. The UMLS knowledge sources, Meta-1 and the Semantic Network, as well as the UMLS test collection, have recently contributed to the development of the SPECIALIST system.

Information Storage and Retrieval↗
PubMed1990

Nutritional intervention in chiropractic clinical practice: the chiropractic student's perspective.

A survey of chiropractic students reveals that they regard chiropractors as a knowledgeable source of information about nutrition. While the dissonance produced by the use of nutrients in clinical practice may be overcome by denying that this constitutes drug therapy, the controversies of appropriate use need to be addressed. The challenge faced by chiropractic undergraduate nutrition education involves identification of justifiable nutritional interventions, selection of effective doses and an awareness of the potential side effects. By resolving to match or better the medical profession as a source of nutritional health care, the future chiropractor has unwittingly embraced the cost-benefit paradigm of medical drug therapy.

Chiropractic↗
PubMedDate not supplied

Ignorance of family planning methods in India: an important constraint on use.

Interviews wih women in six villages in India and with educated, working women selected to be trained as interviewers in five states, and evidence from formal studies are discussed to support the conclusions that (1) the low overall rates of contraceptive use in India are at least partly due to low levels of knowledge about different methods of birth control, especially of the modern reversible methods; and (2) the low use of all methods except sterilization is a good proxy for lack of knowledge about these methods. It is suggested that, both in the interests of achieving demographic targets and in the interests of the clientele of the family planning program, much greater emphasis must be placed on spreading practical information about reversible contraception. The information dissemination activities of the program so far have tended to concentrate on the why of family planning and neglect the how, except in promoting sterilization.

Contraception↗
PubMed1994

Natural language processing of medical texts within the HELIOS environment.

A large number of hospital applications are potentially interested in natural language processing since they currently heavily depend on an efficient use of a huge amount of textual information. The need for systems that are able to accept multiple European languages is of paramount interest, as language barriers can be a strong impediment for large-scale communication in Europe, in particular regarding telemedicine. In the context of the AIM project HELIOS, the Natural Language Processing (NLP) component offers a large variety of medical services according to natural language free input. It allows the multilingual analysis of medical texts (currently in English, French and German) and the storage of the meaning of these texts under a deep knowledge representation that can be queried whenever it is needed. In addition, it provides facilities to handle knowledge source embedded into the conceptual typologies and into the dictionaries. This article aims at describing all these functionalities and their integration into the environment of the HELIOS project.

Artificial Intelligence↗
PubMed1994

Lexical methods for managing variation in biomedical terminologies.

Access to biomedical terminologies is hampered by the high degree of variability inherent in natural language terms and in the terminologies themselves. The lexicon, lexical programs, databases, and indexes included with the 1994 release of the UMLS Knowledge Sources are designed to help users manage this variability. We describe these resources and illustrate their flexibility and usefulness in providing enhanced access to data in the UMLS Metathesaurus.

Biology↗
PubMed1993

Computer auditing of surgical operative reports written in English.

We developed a script-based scheme for automated auditing of natural language surgical operative reports. Suitable operations (appendectomy and breast biopsy) were selected, then audit criteria and operation scripts conforming with our audit criteria were developed. Our LISP parser was context and expectation sensitive. Parsed sentences were represented by semigraph structures and placed in a textual database to improve efficiency. Sentence ambiguities were resolved by matching the narrative textual database to the script textual database and employing the Uniform Medical Language System (UMLS) Knowledge Sources. All audit criteria questions were successfully answered for typical operative reports by matching parsed audit questions to the textual database.

Appendectomy↗
PubMed1993

The Unified Medical Language System.

In 1986, the National Library of Medicine began a long-term research and development project to build the Unified Medical Language System (UMLS). The purpose of the UMLS is to improve the ability of computer programs to "understand" the biomedical meaning in user inquiries and to use this understanding to retrieve and integrate relevant machine-readable information for users. Underlying the UMLS effort is the assumption that timely access to accurate and up-to-date information will improve decision making and ultimately the quality of patient care and research. The development of the UMLS is a distributed national experiment with a strong element of international collaboration. The general strategy is to develop UMLS components through a series of successive approximations of the capabilities ultimately desired. Three experimental Knowledge Sources, the Metathesaurus, the Semantic Network, and the Information Sources Map have been developed and are distributed annually to interested researchers, many of whom have tested and evaluated them in a range of applications. The UMLS project and current developments in high-speed, high-capacity international networks are converging in ways that have great potential for enhancing access to biomedical information.

Information Storage and Retrieval↗