LEADER 08962nam 22006975 450 001 9910144020803321 005 20250626013100.0 010 $a3-540-39907-0 024 7 $a10.1007/b12009 035 $a(CKB)1000000000212136 035 $a(SSID)ssj0000321416 035 $a(PQKBManifestationID)11255090 035 $a(PQKBTitleCode)TC0000321416 035 $a(PQKBWorkID)10281676 035 $a(PQKB)11537084 035 $a(DE-He213)978-3-540-39907-0 035 $a(MiAaPQ)EBC3087248 035 $a(PPN)155235370 035 $a(BIP)8947987 035 $a(EXLCZ)991000000000212136 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Intelligence in Medicine $e9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings /$fMichel Dojat, Elpida Keravnou, Pedro Barahona (eds.) 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XIV, 394 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2780 300 $aIncludes index. 311 08$a3-540-20129-7 327 $aTemporal Reasoning -- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information -- Quality Assessment of Hemodialysis Services through Temporal Data Mining -- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases -- Prognosis of Approaching Infectious Diseases -- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data -- NEONATE: Decision Support in the Neonatal Intensive Care Unit ? A Preliminary Report -- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy -- Ontology, Terminology -- How to Represent Medical Ontologies in View of a Semantic Web? -- Using Description Logics for Managing Medical Terminologies -- Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions -- Speech Interfaces for Point-of-Care Guideline Systems -- Text Categorization prior to Indexing for the CISMEF Health Catalogue -- Bodily Systems and the Modular Structure of the Human Body -- Image Processing, Simulation -- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation -- Qualitative Simulation of Shock States in a Virtual Patient -- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory -- A Knowledge-Based System for the Diagnosis of Alzheimer?s Disease -- Guidelines, Clinical Protocols -- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines -- Experiences in the Formalisation and Verification of Medical Protocols -- Enhancing Conventional Web Content with Intelligent Knowledge Processing -- Linking Clinical Guidelines with Formal Representations -- Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy -- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions -- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients -- Informal and Formal Medical Guidelines: Bridging the Gap -- Terminology, Natural Language -- Rhetorical Coding of Health Promotion Dialogues -- Learning Derived Words from Medical Corpora -- Learning-Free Text Categorization -- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web -- Linking Rules to Terminologies and Applications in Medical Planning -- Machine Learning -- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines -- Attribute Interactions in Medical Data Analysis -- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma -- Analysis of Gene Expression Data by the Logic Minimization Approach -- A Journey trough Clinical Applications of Multimethod Decision Trees -- Probabilistic Networks, Bayesian Models -- Detailing Test Characteristics for Probabilistic Networks -- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation -- Hierarchical Dirichlét Learning ? Filling in the Thin Spots in a Database -- A Bayesian Neural Network Approach for Sleep Apnea Classification -- Probabilistic Networks as Probabilistic Forecasters -- Finding and Explaining Optimal Treatments -- Case Based Reasoning, Decision Support -- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support -- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment -- Constraint Reasoning in Deep Biomedical Models -- Interactive Decision Support for Medical Planning -- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer -- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers -- VIE-DIAB: A Support Program for Telemedical Glycaemic Control -- Data Mining, Knowledge Discovery -- Drifting Concepts as Hidden Factors in Clinical Studies -- Multi-relational Data Mining in Medical Databases -- Invited Talks -- Is It Time to Trade ?Wet-Work? for Network? -- Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?. 330 $aThe European Society for Arti'cial Intelligence in Medicine (AIME) was - tablished in 1986 with two main goals: 1) to foster fundamental and applied research in the application of Arti'cial Intelligence (AI) techniques to medical care and medical research, and 2) to provide a forum for reporting signi'cant results achieved at biennial conferences. Additionally, AIME assists medical - dustrials to identify new AI techniques with high potential for integration into new products. A major activity of this society has been a series of international conferences,fromMarseille(FR)in1987toCascais(PT)in2001,heldbiennially over the last 16 years. The AIME conference provides a unique opportunity to present and improve the international state of the art of AI in medicine from both a research and an applicationsperspective.Forthispurpose,theAIMEconferenceincludesinvited lectures, contributed papers, system demonstrations, tutorials and workshops. The present volume contains the proceedings of the AIME 2003 conference, the ninthconferenceonArti'cialIntelligenceinMedicineinEurope,heldinCyprus, October 18-22, 2003. In the AIME 2003 conference announcement, we encouraged authors to s- mit original contributions to the development of theory, techniques, and - plications of AI in medicine, including the evaluation of health care programs. Theoretical papers should include a prospective part about possible applications to medical problems solving. Technical papers should describe the novelty of the proposed approach, its assumptions and pros and cons compared to other alt- native techniques. Application papers should present su'cient information to allow the evaluation of the practical bene'ts of the proposed system or meth- ology. 410 0$aLecture Notes in Artificial Intelligence ;$v2780 606 $aArtificial intelligence$xMedical applications$vCongresses 606 $aArtificial intelligence 606 $aGeneral Practice / Family Medicine$3https://scigraph.springernature.com/ontologies/product-market-codes/H24003 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 608 $aConference papers and proceedings.$2lcgft 615 0$aArtificial intelligence$xMedical applications 615 0$aArtificial intelligence. 615 14$aGeneral Practice / Family Medicine. 615 24$aBiomedicine, general. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 676 $a610/.285/63 702 $aDojat$b Michel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKeravnou-Papailiou$b Elpida$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarahona$b P$g(Pedro),$f1954-$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910144020803321 996 $aArtificial Intelligence in Medicine$92783404 997 $aUNINA