LEADER 05971nam 22008415 450 001 9910483873303321 005 20251226202417.0 010 $a1-280-38570-7 010 $a9786613563620 010 $a3-642-11808-9 024 7 $a10.1007/978-3-642-11808-1 035 $a(CKB)2560000000000995 035 $a(SSID)ssj0000355543 035 $a(PQKBManifestationID)11261337 035 $a(PQKBTitleCode)TC0000355543 035 $a(PQKBWorkID)10340369 035 $a(PQKB)10930596 035 $a(DE-He213)978-3-642-11808-1 035 $a(MiAaPQ)EBC3065044 035 $a(PPN)149073712 035 $a(BIP)28689449 035 $a(EXLCZ)992560000000000995 100 $a20100715d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aKnowledge Representation for Health-Care. Data, Processes and Guidelines $eAIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers /$fedited by David Riano, Annette ten Teije, Silvia Miksch, Mor Peleg 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (195 p. 60 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5943 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-11807-0 320 $aIncludes bibliographical references and index. 327 $aFrom Patient Data to Medical Ontologies -- Creating Topic Hierarchies for Large Medical Libraries -- Bridging an Asbru Protocol to an Existing Electronic Patient Record -- From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology -- A Hybrid Methodology for Consumer-Oriented Healthcare Knowledge Acquisition -- Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000 -- Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper -- Guideline Modeling and Tools -- Analysis of the GLARE and GPROVE Approaches to Clinical Guidelines -- Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S -- Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems -- Experiences in the Development of Electronic Care Plans for the Management of Comorbidities -- Challenges in Delivering Decision Support Systems: The MATE Experience -- Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Records -- Advanced Topics -- Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation -- Argumentation about Treatment Efficacy -- A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge. 330 $aThis bookis the resultof merging two workshopsseries,namely, oneon comp- erized guidelines and protocols and the other one on knowledge management for healthcareprocedures. Themergeresultedinthe KR4HCworkshop:Knowledge Representationfor HealthCare:Data,Processes,andGuidelines. This workshop was held in conjunction with the 12th Conference on Arti'cial Intelligence in Medicine (AIME 2009), in Verona, Italy. The book included, in addition to the full-length workshop papers, invited peer-reviewed advanced papers on lessons learned in these ?elds. The KR4HC workshop continued a line of successful guideline workshops held in 2000, 2004, 2006, 2007, and 2008. Following the success of the ?rst - ropean Workshop on Computerized Guidelines and Protocols held in Leipzig, Germany, in 2000, the Symposium on Computerized Guidelines and Protocols (CGP 2004) was organized in Prague, Czech Republic in 2004 to identify use cases for guideline-based applications in health care, computerized methods for supportingtheguidelinedevelopmentprocess,andpressingissuesandpromising approachesfordevelopingusableandmaintainablevehiclesforguidelinedelivery. In 2006 an ECAI 2006 workshop at Riva del Garda, Italy, entitled "AI Te- niques in Health Care:Evidence-BasedGuidelinesand Protocols"wasorganized to bring together researchers from di'erent branches of arti'cial intelligence to examine cutting-edge approaches to guideline modeling and development and to consider how di'erent communities can cooperate to address the challenges of computer-based guideline development. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5943 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aDatabase management 606 $aElectronic data processing$xManagement 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aIT Operations 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aElectronic data processing$xManagement. 615 14$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aIT Operations. 676 $a610.285 686 $aSS 4800$2rvk 686 $aDAT 703f$2stub 686 $aMED 230f$2stub 701 $aRiano$b David$01709971 712 02$aEuropean Society for Artificial Intelligence in Medicine. 712 12$aKR4HC 2009 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483873303321 996 $aKnowledge Representation for Health-Care. Data, Processes and Guidelines$94520655 997 $aUNINA