LEADER 09582nam 22007935 450 001 9910143594603321 005 20251116234144.0 010 $a3-540-48229-6 024 7 $a10.1007/3-540-48229-6 035 $a(CKB)1000000000211510 035 $a(SSID)ssj0000321415 035 $a(PQKBManifestationID)11231236 035 $a(PQKBTitleCode)TC0000321415 035 $a(PQKBWorkID)10279844 035 $a(PQKB)11266468 035 $a(DE-He213)978-3-540-48229-1 035 $a(MiAaPQ)EBC3073316 035 $a(PPN)155215051 035 $a(EXLCZ)991000000000211510 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Intelligence in Medicine $e8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings /$fedited by Silvana Quaglini, Pedro Barahona, Steen Andreassen 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (XIV, 469 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2101 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-42294-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMediated Agent Interaction -- On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems -- Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS -- Detection of Infectious Outbreaks in Hospitals through Incremental Clustering -- Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma -- Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin?s Disease -- Visualisation of Multidimensional Data for Medical Decision Support -- A clustering-based constructive induction method and its application to rheumatoid arthritis -- Improving Identification of Difficult Small Classes by Balancing Class Distribution -- Credal Classification for Dementia Screening -- Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools -- Making Reliable Diagnoses with Machine Learning: A Case Study -- A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care -- Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database -- Coronary Heart Disease Patient Models Based on Inductive Machine Learning -- Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method -- Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients -- Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System -- A User Interface for Executing Asbru Plans -- Improving HISYS1 with a Decision Support System -- Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique -- A Visual Tool for a User-Friendly Artificial Neural Network Based Decision Support System in Medicine -- Modeling of Ventricular Repolarisation Time Series by Multi-Layer Perceptrons -- Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal -- Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases -- Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors -- The Effects of Disregarding Test Characteristics in Probabilistic Networks -- Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System -- Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks -- NasoNet, Joining Bayesian Networks, and Time to Model Nasopharyngeal Cancer Spread -- Using time-oriented data abstraction methods to optimize oxygen supply for neonates -- Visual Definition of Temporal Clinical Abstractions: A User Interface Based on Novel Metaphors -- Using Temporal Probabilistic Knowledge for Medical Decision Making -- Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome -- Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans -- Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction -- Semantic Interpretation of Medical Language - Quantitative Analysis and Qualitative Yield -- Medical Knowledge Acquisition from the Electronic Encyclopedia of China -- Quantitative and Qualitative Approaches to Reasoning Under Uncertainty in Medical Decision Making -- Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems -- Parts, Locations, and Holes ? Formal Reasoning about Anatomical Structures -- Abductive Inference of Genetic Networks -- Interface of Inference Models with Concept and Medical Record Models -- Integrating Ripple Down Rules with Ontologies in an Oncology Domain -- Towards a Simple Ontology Definition Language (SOntoDL) for a Semantic Web of Evidence-Based Medical Information -- Knowledge Acquisition System to Support Low Vision Consultation -- Systematic Construction of Texture Features for Hashimoto?s Lymphocytic Thyroiditis Recognition from Sonographic Images -- Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation -- Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies -- Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis -- Management of Hospital Teams for Organ Transplants Using Multi-Agent Systems -- An AI-Based Approach to Support Communication in Health Care Organizations -- TAME Time Resourcing in Academic Medical Environments -- A Conceptual Framework to Model Chronic and Long-Term Diseases -- Modelling of Radiological Examinations with POKMAT, a Process Oriented Knowledge Management Tool -- A Multi-Agent System for Organ Transplant Co-ordination -- A Platform Integrating Knowledge and Data Management for EMG Studies -- Using ONCODOC as a Computer-Based Eligibility Screening System to Improve Accrual onto Breast Cancer Clinical Trials -- Using Critiquing for Improving Medical Protocols: Harder than It Seems -- Evaluating the Impact of Clinical Practice Guidelines on Stroke Outcomes -- Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial -- On the Evaluation of Probabilistic Networks -- Evaluation of a Case-Based Antibiotics Therapy Adviser. 330 $aThis book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation, intelligent agents, telemedicine, careflow systems, and cognitive modeling. 410 0$aLecture Notes in Artificial Intelligence ;$v2101 606 $aArtificial intelligence 606 $aMedicine 606 $aOptical data processing 606 $aInformation storage and retrieval 606 $aApplication software 606 $aMedical informatics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 615 0$aArtificial intelligence. 615 0$aMedicine. 615 0$aOptical data processing. 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aMedical informatics. 615 14$aArtificial Intelligence. 615 24$aBiomedicine, general. 615 24$aImage Processing and Computer Vision. 615 24$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aHealth Informatics. 676 $a610/.285/63 702 $aQuaglini$b Silvana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarahona$b Pedro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAndreassen$b Steen$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aConference on Artificial Intelligence in Medicine in Europe. 906 $aBOOK 912 $a9910143594603321 996 $aArtificial Intelligence in Medicine$92783404 997 $aUNINA LEADER 04641nam 22006255 450 001 9910512175703321 005 20251204111011.0 010 $a9783030894436 010 $a3030894436 024 7 $a10.1007/978-3-030-89443-6 035 $a(MiAaPQ)EBC6824914 035 $a(Au-PeEL)EBL6824914 035 $a(CKB)20094248600041 035 $a(DE-He213)978-3-030-89443-6 035 $a(EXLCZ)9920094248600041 100 $a20211209d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Digital Innovation Race $eConceptualizing the Emerging New World Order /$fby Cecilia Rikap, Bengt-Åke Lundvall 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2021. 215 $a1 online resource (207 pages) 225 1 $aPalgrave Pivot 311 08$aPrint version: Rikap, Cecilia The Digital Innovation Race Cham : Springer International Publishing AG,c2022 9783030894429 327 $aChapter 1: A global race between giant corporations and nation states -- Chapter 2: Tech giants as intellectual monopolies -- Chapter 3: Tech giants? corporate innovation systems -- Chapter 4: Tech giants and Artificial Intelligence as a Technological Innovation System -- Chapter 5: Amazon and Microsoft: Convergence and the emerging AI technology trajectory -- Chapter 6: China?s catching-up process and its emergence as a potential lead country in Artificial Intelligence -- Chapter 7: AI policies and politics in China and the US between techno-globalism and techno-nationalism -- Chapter 8: Alternative futures and what is to be done. 330 $aThis book develops new theoretical perspectives on the economics and politics of innovation and knowledge in order to capture new trends in modern capitalism. It shows how giant corporations establish themselves as intellectual monopolies and how each of them builds and controls its own corporate innovation system. It presents an analysis of a new form of production where Google, Amazon, Facebook, Apple and Microsoft, and their counterparts in China, extract value and appropriate intellectual rents through privileged access to AI algorithms trained by data from organizations and individuals all around the world. These companies? specific form of production and rent-seeking takes place at the global level and challenges national governments trying to regulate intellectual monopolies and attempting to build stronger national innovation systems. It is within this context that the authors provide new insights on the complex interplay between corporate and national innovation systems by looking at the US-China conflict, understood as a struggle for global technological supremacy. The book ends with alternative scenarios of global governance and advances policy recommendations as well as calls for social activism. This book will be of interest to students, academics and practitioners (both from national states and international organizations) and professionals working on innovation, digital capitalism and related topics. Bengt-Åke Lundvall is Professor emeritus in economics at Department of Business Studies at Aalborg University and Professor emeritus at Department of Economic History at Lund University. His research is organized around a broad set of issues related to innovation systems and learning economies. Cecilia Rikap is Lecturer in International Political Economy at City, University of London, CONICET researcher and associate researcher at COSTECH, Université de Technologie de Compiègne. She has a PhD in Economics from the University of Buenos Aires, Argentina. Her research deals with the global political economy of science, technology and innovation. . 410 0$aPalgrave pivot. 606 $aIndustrial organization 606 $aEconomics 606 $aBusiness 606 $aManagement science 606 $aIndustrial Organization 606 $aEconomics 606 $aBusiness and Management 615 0$aIndustrial organization. 615 0$aEconomics. 615 0$aBusiness. 615 0$aManagement science. 615 14$aIndustrial Organization. 615 24$aEconomics. 615 24$aBusiness and Management. 676 $a338.4762 676 $a338.926 700 $aRikap$b Cecilia$01069066 702 $aLundvall$b Bengt-A?ke 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910512175703321 996 $aThe digital innovation race$92908736 997 $aUNINA