Our objective is to develop a framework for creating reference standards for functional testing of computerized measures of semantic relatedness. Currently, research on computerized approaches to semantic relatedness between biomedical concepts relies on reference standards created for specific purposes using a variety of methods for their analysis. In most cases, these reference standards are not publicly available and the published information provided in manuscripts that evaluate computerized semantic relatedness measurement approaches is not sufficient to reproduce the results. Our proposed framework is based on the experiences of medical informatics and computational linguistics communities and addresses practical and theoretical issues with creating reference standards for semantic relatedness. We demonstrate the use of the framework on a pilot set of 101 medical term pairs rated for semantic relatedness by 13 medical coding experts. While the reliability of this particular reference standard is in the “moderate” range; we show that using clustering and factor analyses offers a data-driven approach to finding systematic differences among raters and identifying groups of potential outliers. We test two ontology-based measures of relatedness and provide both the reference standard containing individual ratings and the R program used to analyze the ratings as open-source. Currently, these resources are intended to be used to reproduce and compare results of studies involving computerized measures of semantic relatedness. Our framework may be extended to the development of reference standards in other research areas in medical informatics including automatic classification, information retrieval from medical records and vocabulary/ontology development.
A cell-free system for synthesizing protein from wheat germ was used to translate the messenger RNA extracted from 16-day embryonic chick calvaria. A part of the product had properties similar to collagenous peptides and served as a substrate for prolyl hydroxylase, an enzyme specific for collagen. The level of potassium was critical for the synthesis of high molecular weight products with properties similar to pro-alpha-chains. The potassium concentration for optimal protein synthesis, as judged by maximum incorporation of [3H]proline into acid precipitable material, was considerably lower than the concentration required for the synthesis of high molecular weight collagenous peptides.
BACKGROUND: In recent years, there have been a number of pharmacological innovations for Crohn's disease (CD), a difficult-to-treat condition, including new treatment philosophies (e.g., top-down therapy) and new therapeutic options in terms of the agent and the route of administration. Three anti-tumor necrosis factor (anti-TNF-alpha) agents are available for use among CD patients in the United States: infliximab, an intravenous agent, and adalimumab and certolizumab pegol, 2 newer subcutaneous products. Infliximab is considered the "gold standard" because it has the longest clinical experience, and adalimumab and certolizumab pegol have each gained significant market share.
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