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The terms included and detailed in the present part are: case-control Study, Chi scare, Cochrane Collaboration, Cochrane Library, Cohort study, Coefficient of correlation, concordance testing, Informed consent.
The terms included and detailed in the present part are: cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, proportional hazards (Cox) model, inclusion criteria, endpoints or outcomes.
The terms included and detailed in the present part are: Consort statement, Odds ratio, Receiver Operating Characteristics curve.
The terms included and detailed in the present part are: dichotomous (variable), mean difference, normal (Gaussian) distribution, discrete(variable), discriminated (analysis).
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The terms included and detailed in the present part are: Standard error, Clinical trial, Randomized controlled trial, Cross-over clinical trial, Equivalence trial and non inferiority trial.
The terms included and detailed in the present part are: confounding factor, false negative, false positive, reliability, forest plot, funnel plot.
The terms included and detailed in the present part are: gold standard, grey literature, heterogeneity, homogeneity, and null hypothesis.
The terms included and detailed in the present part are: incidence, confidence interval, interquartile interval, kappa value.
The terms included and detailed in the present part are: weighting, diagnostic accuracy, predictive value, prevalence, prevention, statistical power.
The terms included and detailed in the present part are: QUORUM, randomisation, hazards ratio, likelihood ratio, RevMan, risk reduction, relative risk.
Scientific progress is increasingly based on knowledge and information. Knowledge is now recognized as the driver of productivity and economic growth, leading to a new focus on the role of information in the decision-making process. Most scientific knowledge is registered in publications and other unstructured representations that make it difficult to use and to integrate the information with other sources (e.g. biological databases). Making a computer understand human language has proven to be a complex achievement, but there are techniques capable of detecting, distinguishing and extracting a limited number of different classes of facts. In the biomedical field, extracting information has specific problems: complex and ever-changing nomenclature (especially genes and proteins) and the limited representation of domain knowledge.
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The International Committee Monitoring Assisted Reproductive Technologies (ICMART) is an independent international nonprofit organization that has taken a leading role in the development, collection, and dissemination of worldwide data on assisted reproductive technology (ART). Information on availability, efficacy, and safety is provided to health professionals, health authorities, and the public. The glossary facilitates dissemination of ART data through a set of agreed-upon definitions, as seen in the most recent World Report on ART. It provides a conceptual framework for further international terminology and data development of ART.
PURPOSE: Recent research has enhanced our understanding of radiation injury at the molecular-cellular and tissue levels; significant strides have occurred in standardization of adverse event reporting in clinical trials. In response, the International Atomic Energy Agency, through its Division of Human Health and its section for Applied Radiation Biology and Radiotherapy, organized a consultation meeting in Atlanta (October 2, 2004) to discuss developments in radiobiology, normal tissue reactions, and adverse event reporting. METHODS AND MATERIALS: Representatives from cooperative groups of African Radiation Oncology Group, Curriculo Radioterapeutica Ibero Latino Americana, European Organization for Research and Treatment of Cancer, National Cancer Institute of Canada Clinical Trials Group, Radiation Therapy Oncology Group, and Trans-Tasman Radiation Oncology Group held the meeting discussion. RESULTS: Representatives of major radiotherapy groups/organizations and prominent leaders in radiotherapy discussed current understanding of normal tissue radiobiologic effects, the design and implementation of future clinical and translational projects for normal tissue injury, and the standardization of adverse-event reporting worldwide. CONCLUSIONS: The consensus was to adopt NCI comprehensive adverse event reporting terminology and grading system (CTCAE v3.0) as the new standard for all cooperative group trials. Future plans included the implementation of coordinated research projects focusing on normal tissue biomarkers and data collection methods.
There has been considerable work done recently in recognizing named entities in biomedical text. In this paper, we investigate the named entity classification task, an integral part of the named entity extraction task. We focus on the different sources of information that can be utilized for classification, and note the extent to which they are effective in classification. To classify a name, we consider features that appear within the name as well as nearby phrases. We also develop a new strategy based on the context of occurrence and show that they improve the performance of the classification system. We show how our work relates to previous works on named entity classification in the biological domain as well as to those in generic domains. The experiments were conducted on the GENIA corpus Ver. 3.0 developed at University of Tokyo. We achieve f value of 86 in 10-fold cross validation evaluation on this corpus.
The National Cancer Institute has developed the NCI Thesaurus, a biomedical vocabulary for cancer research, covering terminology across a wide range of cancer research domains. A major design goal of the NCI Thesaurus is to facilitate translational research. We describe: the features of Ontylog, a description logic used to build NCI Thesaurus; our methodology for enhancing the terminology through collaboration between ontologists and domain experts, and for addressing certain real world challenges arising in modeling the Thesaurus; and finally, we describe the conversion of NCI Thesaurus from Ontylog into Web Ontology Language Lite. Ontylog has proven well suited for constructing big biomedical vocabularies. We have capitalized on the Ontylog constructs Kind and Role in the collaboration process described in this paper to facilitate communication between ontologists and domain experts. The artifacts and processes developed by NCI for collaboration may be useful in other biomedical terminology development efforts.
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