LEADER 01471aam 2200421I 450 001 9910714143703321 005 20151113033706.0 024 8 $aGOVPUB-C13-4b8dd7f501bf5f3f5c7080475a09e67b 035 $a(CKB)4330000001261062 035 $a(OCoLC)929067896 035 $a(EXLCZ)994330000001261062 100 $a20151113d2005 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 12$aA study of size effects in the fire performance of beds /$fT. J. Ohlemiller 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2005. 215 $a1 online resource 225 1 $aNIST technical note ;$v1465 300 $a2005. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 606 $aBedding$xFire testing 606 $aMattresses$xFire testing 615 0$aBedding$xFire testing. 615 0$aMattresses$xFire testing. 700 $aOhlemiller$b T. J$g(Thomas J.)$01391465 701 $aOhlemiller$b T. J$g(Thomas J.)$01391465 712 02$aUnited States.$bNational Bureau of Standards. 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910714143703321 996 $aA study of size effects in the fire performance of beds$93473984 997 $aUNINA LEADER 06825nam 2200733 a 450 001 9910962701103321 005 20251117100604.0 010 $a1-61499-240-1 035 $a(CKB)2670000000356090 035 $a(EBL)1183055 035 $a(SSID)ssj0000906687 035 $a(PQKBManifestationID)12422820 035 $a(PQKBTitleCode)TC0000906687 035 $a(PQKBWorkID)10861219 035 $a(PQKB)11756220 035 $a(Au-PeEL)EBL1183055 035 $a(CaPaEBR)ebr10697709 035 $a(CaONFJC)MIL494412 035 $a(MiAaPQ)EBC1183055 035 $a(OCoLC)841486673 035 $a(BIP)44327396 035 $a(BIP)43302523 035 $a(EXLCZ)992670000000356090 100 $a20130524d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData and knowledge for medical decision support $eproceedings of the EFMI Special Topic Conference, 17-19 April 2013, Prague, Czech Republic /$fedited by Bernd Blobel, Arie Hasman and Jana Zva?rova? 205 $a1st ed. 210 $aAmsterdam $cIOS Press$d2013 215 $a1 online resource (224 p.) 225 1 $aStudies in health technology and informatics,$x0926-9630 ;$vv. 186 300 $aDescription based upon print version of record. 311 08$a1-61499-239-8 320 $aIncludes bibliographical references and indexes. 327 $aTitle Page; Preface; EFMI STC 2013 Program Committee and Reviewers; Information on EFMI Working Groups; Contents; Invited Papers; Knowledge Representation and Management Enabling Intelligent Interoperability - Principles and Standards; Handling Intra-Cluster Correlation when Analyzing the Effects of Decision Support on Health Care Process Measures; Basics and Requirements for Medical Decision Support Systems; How Turing and Wolf Influenced My Decision Support Systems; Designing Prognostic Models by Reinforcing Linear Separation; Personalized Medicine and the Need for Decision Support Systems 327 $aAnalyzing the ""CareGap"": Assessing Gaps in Adherence to Clinical Guidelines in Adult Soft Tissue SarcomaA Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework; Attitudes and Experience of Dutch General Practitioners Regarding Computerized Clinical Decision Support; A Comparison of English and French Approaches to Providing Patients Access to Summary Care Records: Scope, Consent, Cost; Global Quality Indicators for Primary Care Electronic Patient Records; Knowledge Representation and Management 327 $aStructured Knowledge Acquisition for Defining Guideline-Compliant PathwaysTempolenses with Variable Magnification for Sonic Representation of Medical Data. Application for Cardiac Signals; System for Selecting Relevant Information for Decision Support; Computational Cognitive Modeling for the Diagnosis of Specific Language Impairment; Entropy-Driven Decision Tree Building for Decision Support in Gastroenterology; Sharing and Reusing Multimedia Multilingual Educational Resources in Medicine; An Ontolological Treatment of Clinical Prediction Rules Implementing the Alvarado Score 327 $aSimultaneously Authoring and Modeling Clinical Practice Guidelines: A Case Study in the Therapeutic Management of Type 2 Diabetes in FranceMedical Decision Support Solutions; A Conceptual Framework for Automating the Operational and Strategic Decision-Making Process in the Health Care Delivery System; Supporting Drug Prescription Through Autocompletion; Physicians Perceptions of an Educational Support System Integrated into an Electronic Health Record; Project I-COP - Architecture of Software Tool for Decision Support in Oncology 327 $aDesign and Implementation of the Standards-Based Personal Intelligent Self-Management System (PICS)Prognostic Decision Support Using Symbolic Dynamics in CTG Monitoring; Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System; Diagnostic Decision Support of Heart Rate Turbulence in Sleep Apnea Syndrome; Utilization of Ontology Look-Up Services in Information Retrieval for Biomedical Literature; A Proposed Novel Method for CHD Screening by Fetal Heart Murmur Detection Using Phonocardiography; DIOS - Database of Formalized Chemotherapeutic Regimens 327 $aAdverse Drug Event Prevention in Neonatal Care: A Rule-Based Approach 330 $aEnsuring patient safety and providing high-quality health services are the dominant challenges faced by healthcare systems around the world today. The sharing of advanced knowledge and best practice in diagnosis, therapy, process optimization and prevention are essential to achieve this goal; this includes enhanced networking socially and technologically as well as the inclusion of public health and social sciences.This book contains the proceedings of the 13th European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), held in Prague, Czech Republic, in April 2013. The EFMI STC 2013 is EuropeOCOs leading forum for presenting the results of current scientific work in health informatics processes, systems and technologies this year. The title of this 13th conference is Data and Knowledge for Medical Decision Support, and the conference addresses this important field, linking traditional and translational medicine with natural sciences and technology with a view to the design, implementation and deployment of intelligent systems which will meet the expectations of developers and users such as health professionals and patients.Within this context, the authors included here address the important issues of knowledge representation and management, appropriate terminologies and ontologies, the development of reasoning engines, and the modeling and simulation of real systems for decision making. The hot topics of Big Data and Analytics also receive attention." 410 0$aStudies in health technology and informatics ;$vv. 186. 606 $aMedicine$xDecision making$xData processing$vCongresses 606 $aClinical medicine$xDecision making$xData processing$vCongresses 606 $aExpert systems (Computer science)$vCongresses 606 $aDecision support systems$vCongresses 615 0$aMedicine$xDecision making$xData processing 615 0$aClinical medicine$xDecision making$xData processing 615 0$aExpert systems (Computer science) 615 0$aDecision support systems 676 $a610.285 701 $aBlobel$b Bernd$01628400 701 $aHasman$b Arie$01601431 701 $aZva?rova?$b Jana$01866649 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910962701103321 996 $aData and knowledge for medical decision support$94474063 997 $aUNINA