Artificial Intelligence in Medicine - Bellazzi, Riccardo / Abu-Hanna, Ameen / Hunter, Jim
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  • Broschiertes Buch

The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 following a very successful workshop held in Pavia, Italy, the year before. The principal aims of AIME are to foster fundamental and applied research in the application of arti?cial intelligence (AI) techniques to medical care and medical research, and to provide a forum at biennial conferences for discussing any progress made. For this reason the main activity of the Society wastheorganizationofaseriesofbiennialconferences,heldinMarseilles,France (1987), London, UK (1989), Maastricht, The Netherlands…mehr

Produktbeschreibung
The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 following a very successful workshop held in Pavia, Italy, the year before. The principal aims of AIME are to foster fundamental and applied research in the application of arti?cial intelligence (AI) techniques to medical care and medical research, and to provide a forum at biennial conferences for discussing any progress made. For this reason the main activity of the Society wastheorganizationofaseriesofbiennialconferences,heldinMarseilles,France (1987), London, UK (1989), Maastricht, The Netherlands (1991), Munich, G- many (1993), Pavia, Italy (1995), Grenoble, France (1997), Aalborg, Denmark (1999), Cascais, Portugal (2001), Protaras, Cyprus (2003), and Aberdeen, UK (2005). This volume contains the proceedings of AIME 2007,the 11th Conference on Arti?cial Intelligence in Medicine, held in Amsterdam, The Netherlands, July 7-11, 2007. The AIME 2007 goals were to present and consolidate the int- national state of the art of AI in biomedical research from the perspectives of methodology and application. The conference included invited lectures, a panel discussion, full and short papers, tutorials, workshops, and a doctoral cons- tium. In the conference announcement, authors were solicited to submit original contributions on the development of theory, systems, and applications of AI in medicine, including the exploitationof AI approachesto molecularmedicine and biomedical informatics. Authors of papers addressing theory were requested to describe the developmentorthe extensionof AI methods and to discuss the n- elty to the state of the art.
  • Produktdetails
  • Lecture Notes in Computer Science 4594
  • Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
  • Artikelnr. des Verlages: 12089543
  • 2007
  • Erscheinungstermin: 29. Juni 2007
  • Deutsch, Englisch
  • Abmessung: 235mm x 155mm x 28mm
  • Gewicht: 789g
  • ISBN-13: 9783540735984
  • ISBN-10: 3540735984
  • Artikelnr.: 22951657
Autorenporträt
Riccardo Bellazzi, University of Pavia, Italy / Ameen Abu-Hanna, University of Amsterdam, The Netherlands / Jim Hunter, University of Aberdeen, UK
Inhaltsangabe
Agent-Based Systems.- A Human-Machine Cooperative Approach for Time Series Data Interpretation.- MRF Agent Based Segmentation: Application to MRI Brain Scans.- R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams.- Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations.- Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy.- An Ontology-Driven Agent-Based Clinical Guideline Execution Engine.- Temporal Data Mining.- An Intelligent Aide for Interpreting a Patient's Dialysis Data Set.- Temporal Data Mining with Temporal Constraints.- A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease.- Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes.- Discovery and Integration of Organ-Failure Episodes in Mortality Prediction.- Machine Learning and Knowledge Discovery.- Contrast Set Mining for Distinguishing Between Similar Diseases.- Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease.- Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing.- Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine.- Interpreting Gene Expression Data by Searching for Enriched Gene Sets.- Variable Selection for Optimal Decision Making.- Supporting Factors in Descriptive Analysis of Brain Ischaemia.- Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences.- Machine Learning Techniques for Decision Support in Anesthesia.- Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring.- Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization.- An Integrated IT System for Phenotypic and Genotypic Data Mining and Management.- Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us.- A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile.- Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants.- Multi-level Clustering in Sarcoidosis: A Preliminary Study.- Text Mining, Natural Language Processing and Generation.- An Experiment in Automatic Classification of Pathological Reports.- Literature Mining: Towards Better Understanding of Autism.- Automatic Generation of Textual Summaries from Neonatal Intensive Care Data.- Anonymisation of Swedish Clinical Data.- MetaCoDe: A Lightweight UMLS Mapping Tool.- Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique.- Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents.- Extracting Specific Medical Data Using Semantic Structures.- Ontologies.- Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data.- Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus.- Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators.- Building an Ontology of Hypertension Management.- Analyzing Differences in Operational Disease Definitions Using Ontological Modeling.- Decision Support Systems.- Adaptive Optimization of Hospital Resource Calendars.- On the Behaviour of Information Measures for Test Selection.- Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm.- Enhancing Automated Test Selection in Probabilistic Networks.- ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery.- Content Collection for the Labelling of Health-Related Web Content.- Bayesian Network Decomposition for Modeling Breast Cancer Detection.- A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams.- Computer-Aided Assessment of Drug-Induced