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Results for “Knowledge base”

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PubMed2000

Theory and practice in sport psychology and motor behaviour needs to be constrained by integrative modelling of brain and behaviour.

Because of advances in technology, the non-invasive study of the human brain has enhanced the knowledge base within the neurosciences, resulting in an increased impact on the psychological study of human behaviour. We argue that application of this knowledge base should be considered in theoretical modelling within sport psychology and motor behaviour alongside existing ideas. We propose that interventions founded on current theoretical and empirical understanding in both psychology and the neurosciences may ultimately lead to greater benefits for athletes during practice and performance. As vehicles for exploring the arguments of a greater integration of psychology and neurosciences research, imagery and perception-action within the sport psychology and motor behaviour domains will serve as exemplars. Current neuroscience evidence will be discussed in relation to theoretical developments; the implications for sport scientists will be considered.

Behavior↗

PubMed2003

Mining terminological knowledge in large biomedical corpora.

Terminological knowledge of the biomedical domain is important for natural language processing (NLP) and information retrieval (IR) applications, and a number of terminological knowledge sources, such as LocusLink, GeneBank, and the UMLS, already exist. However, because of the tremendous amount of research activity in the field, new terms and symbols are continually being created, many of which are published in the literature, but are not available in any of the other resources. Therefore, effective mining of the literature for new terminology is critical for furthering NLP and IR applications. Abbreviations are widely used in the biomedical domain, and the understanding of abbreviations requires a terminological knowledge base that consists of abbreviations with their associated senses. In previous work, several methods have been developed for automatic construction of abbreviation knowledge bases from parenthetical expressions. However, these methods pair abbreviations and their expansions based on manually crafted patterns or rules. In this paper, we propose an automatic method, which is not based on patterns or rules but is based on the use of collocations, to extract a set of related terms from parenthetical expressions including abbreviations associated with their expansions and other types of related terms such as synonyms, or hyponyms etc. Our method is based on the observation that terms associated with parenthetical expressions i) are usually related, and ii) are often collocations because they tend to co-occur more often than expected by chance. Our method was applied to the collection of MEDLINE abstracts. The method and the results were evaluated using two collections: Berman's handcrafted abbreviation list and the LocusLink collection.

Abstracting and Indexing↗

PubMed2003

[Evidenced-based nursing: knowledge, performance and learning in nursing care].

As part of the nursing process, nurses choose an academically secured intervention in response to a patient's problem, implement it and evaluate it. "Evidence based" describes a learning and working method which has the advantage of being applied in real, professional problem situations. Not only the learner but also the professional nurse can improve their competencies for professional acting. Following the problem- and motivation orientated approach of Roth (1983), the implicit learning steps of this method can be illustrated. The implementation of evidence-based nursing can raise high expectations. However, there are also critical aspects connected to it that need further exploration.

Education, Nursing, Continuing↗

PubMed2004

Universal electronic health record MUDR.

One of the important research tasks of the European Centre for Medical Informatics, Statistics and Epidemiology - Cardio (EuroMISE Centre - Cardio) is the applied research in the field of electronic health record design including electronic medical guidelines and intelligent systems for data mining and decision support. The research in the field of data storage and data acquisition was inspired by several European projects and standards, mostly by the I4C and TripleC projects. Based on experience gathered during cooperation in the TripleC project we have proposed a description of a flexible information storage model. The motivation for this effort was the large variability of the set of collected features in different departments - including temporal variability. Therefore, a dynamically extensible and modifiable structure of items is needed. In our model we use two basic structures called the knowledge base and data files. The main function of the knowledge base is to express the hierarchy of collectable features - medical concepts, their characteristics and relations among them. The data files structure is used to store the patient's data itself. These two structures can be described using graph theory expressions. Based on this model, a three-layer system architecture named "Multimedia Distributed Record" (MUDR) has been proposed and implemented. During the implementation, modern technologies such as Web Services, SOAP and XML were used. For the practical usage of EHR MUDR, an intelligent application called MUDRc (MUDR Client) was created. It enables physicians to use EHR MUDR in a flexible way. During the development process, maximum emphasis was placed on user-friendliness and comfortable usage of this application. Several methods of data entry can be used: pre-defined forms, direct entry into the tree data structure of the EHR MUDR, or automatic unstructured free-text report parsing and data retrieval. The system enables fast and simple importing and exporting of data as well. The system integrates modern multimedia formats (X-ray photos, sonography and other pictures, video-sequences, audio records) as well as progressive methods of decision support systems realized by medical guidelines and other modules.

Artificial Intelligence↗

PubMed1996

Practice-based research networks: building the infrastructure of primary care research.

Family practice and primary care are rapidly achieving prominence as the foundation of a rapidly changing health care system, driven not by systematic reform but by the rapid advance of managed care. The knowledge base to support primary care practice, however, lags far behind after decades of neglect in the headlong rush toward overspecialization. The success of biomedical research in the United States in the last 50 years is due in large part to the network of tertiary care hospitals, where the specialized care of highly selected patients supports broad programs of teaching and research. There are no comparable laboratories, however, for research on the important content areas of primary care. The emergence and success of practice-based research networks over the past decade provide an important infrastructure for careful study of the health and health care phenomena that comprise primary care. Practice-based research networks have made a great deal of progress in methods development and have begun to contribute important information to the primary care knowledge base. They continue, however, to be underfunded and underdeveloped, existing on large infusions of volunteerism by the participating physicians. The study recently completed by the Institute of Medicine's Committee on the Future of Primary Care will play a critical role in promoting widespread appreciation of the gap in the scientific base necessary to support primary care practice, the need for research in primary care, and the complementary relationship of this body of research and the more traditional biomedical research that has been so well funded.

Family Practice↗

PubMedDate not supplied

Decision tree induction in the diagnosis of otoneurological diseases.

Expert systems have been applied in medicine as diagnostic aids and education tools. The construction of a knowledge base for an expert system may be a difficult task; to automate this task several machine learning methods have been developed. These methods can be also used in the refinement of knowledge bases for removing inconsistencies and redundancies, and for simplifying decision rules. In this study, decision tree induction was employed to acquire diagnostic knowledge for otoneurological diseases and to extract relevant parameters from the database of an otoneurological expert system ONE. The records of patients with benign positional vertigo, Meniere's disease, sudden deafness, traumatic vertigo, vestibular neuritis and vestibular schwannoma were retrieved from the database of ONE, and for each disease, decision trees were constructed. The study shows that decision tree induction is a useful technique for acquiring diagnostic knowledge for otoneurological diseases and for extracting relevant parameters from a large set of parameters.

Algorithms↗

PubMed1999

Analysis and assessment of ab initio three-dimensional prediction, secondary structure, and contacts prediction.

CASP3 saw a substantial increase in the volume of ab initio 3D prediction data, with 507 datasets for fifteen selected targets and sixty-one groups participating. As with CASP2, methods ranged from computationally intensive strategies that attempt to recreate the physical and chemical forces involved in protein folding to the more recent knowledge-based approaches. These exploit information from the structure databases, extracting potentially similar fragments and/or distance constraints derived from multiple sequence alignments. The knowledge-based approaches generally gave more consistently successful predictions across the range of targets, particularly that of the Baker group (Bystroff and Baker, J Mol Biol 1998;281:565-577; Simons et al. Proteins Suppl 1999;3:171-176), which used a fragment library. In the secondary structure prediction category, the most successful approaches built on the concepts used in PHD (Rost et al. Comput Appl Biosci 1994;10:53-60), an accepted standard in this field. Like PHD, they exploit neural networks but have different strategies for incorporating multiple sequence data or position-dependent weight matrices for training the networks. Analysis of the contact data, for which only six groups participated, suggested that as yet this data provides a rather weak signal. However, in combination with other types of prediction data it can sometimes be a useful constraint for identifying the correct structure.

Animals↗

PubMedDate not supplied

World report on violence and health.

Violence is not an intractable social problem or an inevitable part of the human condition. We can do much to address and prevent it. The world has not yet fully measured the size of the task and does not yet have all the tools to carry it out. But the global knowledge base is growing and much useful experience has already been gained. The World Report on Violence and Health attempts to contribute to that knowledge base. It is hoped that the report will inspire and facilitate increased cooperation, innovation and commitment to preventing violence around the world. These are the recommendations of the World Report on Violence and Health: Create, implement and monitor a national action plan for violence prevention. Enhance capacity for collecting data on violence. Define priorities for, and support research on the causes, consequences, costs and prevention of violence. Promote primary prevention responses. Strengthen responses for victims of violence. Integrate violence prevention into social and educational policies, and thereby promote gender and social equality. Increase collaboration and exchange of information on violence prevention. Promote and monitor adherence to international treaties, laws and other mechanisms to protect human rights. Seek practical, internationally-agreed responses to the global drugs trade and the global arms trade.

Global Health↗

PubMed2000

Knowledge acquisition to qualify Unified Medical Language System interconceptual relationships.

Adding automatically relations between concepts from a database to a knowledge base such as the Unified Medical Language System can be very useful to increase the consistency of the latter one. But the transfer of qualified relationships is more interesting. The most important interest of these new acquisitions is that the UMLS became more compliant and medically pertinent to be used in different medical applications. This paper describes the possibility to inherit automatically medical inter-conceptual relationships qualifiers from a disease description included into a database and to integrate them into the UMLS knowledge base. The paper focuses on the transmission of knowledge from a French medical database to an English one.

Artificial Intelligence↗

PubMed2003

Impact of a veterans affairs continuity clinic on resident competencies in women's health.

BACKGROUND: Education in women's health is now considered a core curricular component during residency training in Internal Medicine. There is potential for insufficient training in women's health for residents with a continuity clinic based at a Veterans Affairs (VA) hospital. OBJECTIVE: To determine the impact of a 3-year continuity clinic based at a VA hospital on residents' self-reported competencies in women's health. DESIGN: Cross sectional survey using an internal website. SETTING: University-based residency program in Ann Arbor, Michigan. MEASUREMENTS AND MAIN RESULTS: Comparison of residents with a VA clinic with residents with non-VA clinics (university and community) in self-reported competencies in knowledge base, counseling, and physical exam skills in the area of women's health. Responses were obtained from 66% (n = 72) of eligible residents. When compared to residents with either a university hospital- or community-based clinic site, VA-based residents reported less confidence in the majority of competencies surveyed. Clinic site had the strongest impact in the knowledge base domain, accounting for between 17% and 33% of the variance in each specific competency. For estimated number of Pap smears and breast exams done in the prior year, VA-based residents reported doing, on average, less than 5 of each per year while non-VA residents reported doing between 11 and 20 of each exam. CONCLUSIONS: Our data suggest that despite other clinical opportunities in women's health during ambulatory rotations, regular clinical experiences in women's health in the continuity clinic setting are necessary to improve education in this area.

Adult↗

PubMed2003

Modelling human burn injuries in a three-dimensional virtual environment.

This paper gives a work-in-progress report on our research project BurnCase, a virtual environment for modelling human burn injuries. The goal of the project is to simplify and improve the diagnosis and medical treatment of burns. Due to the lack of electronic and computational support for current diagnosis methods, enormous variations regarding the approximated size of burned skin regions exist. And although Simplifications like the Rule-Of-Nines-Method ([Weidringer, 2002]), Lund and Browder ([LundBrowder, 1944]) and others try to compensate for these errors, the fact remains that different physicians overestimate the BSA (Body Surface Area) by 20% up to 50%, depending on the different experience and subjectivity of the approximation process. Nevertheless, different supporting mechanisms have been developed to assist the process of burn region transfer so that after transferring all burned regions on the virtual human body, calculations can be applied in order to evaluate standard indices like the ABSI (Abbreviated Burn Severity Index), and Baux ([Baux, 1989]) as well as ICD10 (International Classification of Diseases) diagnosis encoding. The virtual body simulation is based on state-of-the-art 3D computer graphics (OpenGL). Thus a simulation system, providing a graphical user interface, allows surgeons to transfer a patient's burn injury regions onto an appropriate 3-dimensional model. As such, the BurnCase system improves surface determination by calculating region surfaces up to a precision of one cm2. This improves the average variation to less than 5%, limited by the precision of the surface transfer onto the virtual model. The system already allows the transfer of burned regions by using standard input devices. For this purpose different reference models of human bodies have been created in order to receive appropriate results based on measured physical data of different patients. Moreover, an underlying database stores all entered case studies so that it is possible to perform comparisons of burn cases and animation sequences of the healing process of single wounds or whole bodies. When used as centralized burn accident registration service, a huge knowledge base of burn diagnoses and consequent medical treatment will emerge. This knowledge base will allow medical advices and diagnosis support for any kind of burn accidents, and it will consequently improve and support the primary diagnosis process of burn accidents. Thus, an enormous reduction of time and costs of medical burn treatment will be reached.

Burns↗

PubMedDate not supplied

AIDS, nursing, and physician-assisted suicide: Part 1.

Nurses who work in HIV/AIDS care often hold conflicting views about appropriate nursing roles in relation to physician-assisted suicide. Regardless of whether the individual nurse supports or opposes physician-assisted suicide, nurses in HIV/AIDS care need to have a broad knowledge base of the legal and ethical issues related to physician-assisted suicide. This article's main purpose is to provide nurses with the knowledge base they need to assist them in their work in clinical practice, education, policy development, and research.

Acquired Immunodeficiency Syndrome↗

PubMed1998

Gerontechnology in higher engineering education.

This paper is based on experiences with designing an educational programme on gerontechnology at Eindhoven University of Technology (TUE) and designing and developing various international gerontechnology courses. There are two major goals for education in gerontechnology: (1) creation of a knowledge base of principles, methods and facts about ageing and technology; (2) creation of an attitude base about the convictions, beliefs and goals for society that are embedded in the concept of gerontechnology. Because the knowledge base of gerontechnology is multi-disciplinary, an outline for a curriculum has been developed that consists of four basic modules: (1) basic concepts, (2) information about people, (3) information about technology and (4) macro aspects. Project-oriented education as educational method is an attractive tool for teaching gerontechnology and the creation of an attitude base. Project-oriented education is an organisational format in which the students collaborate as a team on a case they chose themselves. Relevance to society is a leading factor for the formulation of the cases. This often requires a multi-disciplinary approach. A case-study as such provides a context for integrating disciplines, theory and practise. Besides the two major goals, the courses intend to increase the interest of students in participating in ongoing research projects on gerontechnology. This all stimulates the further development of gerontechnology.

Aged↗

PubMedDate not supplied

AIDS, nursing, and physician-assisted suicide: Part 2.

Nurses who work in HIV/AIDS care often hold conflicting views from each other about appropriate nursing roles in relation to physician-assisted suicide. Regardless of whether the individual nurse supports or opposes physician-assisted suicide, nurses in HIV/AIDS care need to have a broad knowledge base of the legal and ethical issues related to physician-assisted suicide. This article has as its major purpose to provide nurses with the knowledge base they need to assist them in their work in clinical practice, education, policy development, and research.

Ethics, Nursing↗

PubMed1998

Ethical and pragmatic issues in the use of psychotropic agents in young children.

OBJECTIVE: To provide an overview of the knowledge base concerning the prescribing of psychotropic agents in young children with mental disorder and related mental health problems. METHOD: Relevant information is reviewed concerning the knowledge base available to inform pediatric psychopharmacology prescribing practices. RESULTS: Very few psychoactive medications have been adequately tested for safety and efficacy in young children, despite relatively high rates of prescribing. CONCLUSION: Behavioral and psychotherapeutic strategies are often the wisest first therapeutic intervention for this age group. Psychotropic medications may be required, but should be used cautiously in young children, while additional studies are being conducted.

Child↗

PubMed2005

Modular expert system for the diagnosis of operating conditions of industrial anaerobic digestion plants.

Anaerobic digestion (AD) plants are highly efficient wastewater treatment processes with possible energetic valorisation. Despite these advantages, many industries are still reluctant to use them because of their instability in the face of changes in operating conditions. To the face this drawback and to enhance the industrial use of anaerobic digestion, one solution is to develop and to implement knowledge base (KB) systems that are able to detect and to assess in real-time the quality of operating conditions of the processes. Case-based techniques and heuristic approaches have been already tested and validated on AD processes but two major properties were lacking: modularity of the system (the knowledge base system should be easily tuned on a new process and should still work if one or more sensors are added or removed) and uncertainty management (the assessment of the KB system should remain relevant even in the case of too poor or conflicting information sources). This paper addresses these two points and presents a modular KB system where an uncertain reasoning formalism is used to combine partial and complementary fuzzy diagnosis modules. Demonstration of the interest of the approach is provided from real-life experiments performed on an industrial 2,000 m3 CSTR anaerobic digester.

Bacteria, Anaerobic↗

PubMed2006

Pre-registration house officers' views on studying under a reformed medical curriculum in the UK.

In 1996 the University of Liverpool introduced a new curriculum based on the recommendations published in Tomorrow's Doctors. This work examines how graduates of that course view their undergraduate curriculum and whether they consider it prepared them well for the pre-registration year. Five focus groups were arranged with a selection of graduates from the first cohort to graduate from the reformed curriculum in order to ascertain their views on the course and how it had prepared them to work as pre-registration house officers (PRHOs). The focus groups were tape-recorded, transcribed and analysed. The PRHOs felt they had been well prepared for the PRHO year, citing the clinical experience of the final year, communication skills classes and the Clinical Skills Resource Centre as having been particularly beneficial. There were concerns about their basic science knowledge base although this had not affected their ability to work as PRHOs. They had criticisms of the way part of their course had been structured but overall they were happy with the content of the course. A reformed medical curriculum in the UK can prepare graduates well to work as junior doctors and can take away some of the anxiety associated with graduation; therefore, to that extent curriculum reform has worked. However, anxiety about undertaking the role of junior doctor seems to have been replaced by anxiety about knowledge base, despite having adequate knowledge to work as PRHOs. Students undertaking a reformed curriculum are wary about being the first people to use their training in the workplace. This factor may need to be considered when further reforms are introduced.

Attitude of Health Personnel↗

PubMedDate not supplied

Educational opportunities for experienced staff: do they make a difference?

This study evaluates the impact of educational programs, such as Advanced Burn Life Support (ABLS), on the knowledge base of experienced burn nurses. A convenience sample of six clinical experts within a 21-bed southeastern burn center who had never taken ABLS participated. The quantitative findings display a high level of value and an increase in knowledge base. The results of this study suggest that nurses with high levels of experience will have an increase in knowledge and express value in continuing education curricula. Consequently, this study supports the necessity of educational programs for nurses with significant specialized experience.

Burns↗