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Artificial Intelligence in Medicine

11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007. Proceedings

  • Editors
  • Riccardo Bellazzi
  • Ameen Abu-Hanna
  • Jim Hunter
Conference proceedings AIME 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4594)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4594)

Table of contents

  1. Front Matter
    PDF

  2. Agent-Based Systems

    1. Front Matter
      Pages 1-1
      PDF
    2. A Human-Machine Cooperative Approach for Time Series Data Interpretation
      Thomas Guyet, Catherine Garbay, Michel Dojat
      Pages 3-12
    3. MRF Agent Based Segmentation: Application to MRI Brain Scans
      B. Scherrer, M. Dojat, F. Forbes, C. Garbay
      Pages 13-23
    4. R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams
      Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madhu Reddy, John Yen, Mark Pfaff et al.
      Pages 24-33
    5. Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations
      Marjorie McShane, Sergei Nirenburg, Stephen Beale, Bruce Jarrell, George Fantry
      Pages 34-43
    6. Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy
      Mamadou Ndiaye, Abel Kinie, Jean-Jacques Montois
      Pages 44-48
    7. An Ontology-Driven Agent-Based Clinical Guideline Execution Engine
      David Isern, David Sànchez, Antonio Moreno
      Pages 49-53

  3. Temporal Data Mining

    1. Front Matter
      Pages 55-55
      PDF
    2. An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set
      Derek Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie
      Pages 57-66
    3. Temporal Data Mining with Temporal Constraints
      M. Campos, J. Palma, R. Marín
      Pages 67-76
    4. A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease
      Maurice Prijs, Linda Peelen, Paul Bresser, Niels Peek
      Pages 77-86
    5. Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
      Stefan Visscher, Peter Lucas, Ildikó Flesch, Karin Schurink
      Pages 87-96
    6. Discovery and Integration of Organ-Failure Episodes in Mortality Prediction
      Tudor Toma, Ameen Abu-Hanna, Robert-Jan Bosman
      Pages 97-106

  4. Machine Learning and Knowledge Discovery

    1. Front Matter
      Pages 107-107
      PDF
    2. Contrast Set Mining for Distinguishing Between Similar Diseases
      Petra Kralj, Nada Lavrač, Dragan Gamberger, Antonija Krstačić
      Pages 109-118
    3. Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease
      Matjaž Kukar, Luka Šajn, Ciril Grošelj, Jera Grošelj
      Pages 119-129
    4. Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing
      Wiebke Sieben, Ursula Gather
      Pages 130-138
    5. Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
      Nevin L. Zhang, Shihong Yuan, Tao Chen, Yi Wang
      Pages 139-143
    6. Interpreting Gene Expression Data by Searching for Enriched Gene Sets
      Igor Trajkovski, Nada Lavrač
      Pages 144-148
    7. Variable Selection for Optimal Decision Making
      Lacey Gunter, Ji Zhu, Susan Murphy
      Pages 149-154
    8. Supporting Factors in Descriptive Analysis of Brain Ischaemia
      Dragan Gamberger, Nada Lavrač
      Pages 155-159
    9. Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences
      Lina F. Soualmia, Badisse Dahamna
      Pages 160-164
    10. Machine Learning Techniques for Decision Support in Anesthesia
      Olivier Caelen, Gianluca Bontempi, Luc Barvais
      Pages 165-169
    11. Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring
      François Portet, René Quiniou, Marie-Odile Cordier, Guy Carrault
      Pages 170-174
    12. Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization
      Aleksander Pur, Marko Bohanec, Nada Lavrač, Bojan Cestnik, Marko Debeljak, Anton Gradišek
      Pages 175-179
    13. An Integrated IT System for Phenotypic and Genotypic Data Mining and Management
      Angelo Nuzzo, Daniele Segagni, Giuseppe Milani, Cinzia Sala, Cristiana Larizza
      Pages 180-184
    14. Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us
      Arnaud Gaudinat, Natalia Grabar, Célia Boyer
      Pages 185-189
    15. A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile
      Eileen Malo, Rodrigo Salas, Mónica Catalán, Patricia López
      Pages 190-194
    16. Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants
      Steffen Leonhardt, Vojislav Kecman
      Pages 195-199
    17. Multi-level Clustering in Sarcoidosis: A Preliminary Study
      V. L. J. Karthaus, H. H. L. M. Donkers, J. C. Grutters, H. J. van den Herik, J. M. M. van den Bosch
      Pages 200-204

  5. Text Mining, Natural Language Processing and Generation

    1. Front Matter
      Pages 205-205
      PDF
    2. An Experiment in Automatic Classification of Pathological Reports
      Janneke van der Zwaan, Erik Tjong Kim Sang, Maarten de Rijke
      Pages 207-216
    3. Literature Mining: Towards Better Understanding of Autism
      Tanja Urbančič, Ingrid Petrič, Bojan Cestnik, Marta Macedoni-Lukšič
      Pages 217-226
    4. Automatic Generation of Textual Summaries from Neonatal Intensive Care Data
      François Portet, Ehud Reiter, Jim Hunter, Somayajulu Sripada
      Pages 227-236
    5. Anonymisation of Swedish Clinical Data
      Dimitrios Kokkinakis, Anders Thurin
      Pages 237-241
    6. MetaCoDe: A Lightweight UMLS Mapping Tool
      Thierry Delbecque, Pierre Zweigenbaum
      Pages 242-246
    7. Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique
      Frederic Ehrler, Patrick Ruch
      Pages 247-251
    8. Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents
      Natalia Grabar, Sonia Krivine
      Pages 252-256
    9. Extracting Specific Medical Data Using Semantic Structures
      Kerstin Denecke, Jochen Bernauer
      Pages 257-264

  6. Ontologies

    1. Front Matter
      Pages 265-265
      PDF
    2. Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
      Martin O’Connor, Ravi Shankar, Samson Tu, Csongor Nyulas, Dave Parrish, Mark Musen et al.
      Pages 267-276
    3. Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus
      Arash Shaban-Nejad, Volker Haarslev
      Pages 277-286
    4. Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators
      Boontawee Suntisrivaraporn, Franz Baader, Stefan Schulz, Kent Spackman
      Pages 287-291
    5. Building an Ontology of Hypertension Management
      Olivier Steichen, Christel Daniel-Le Bozec, Marie-Christine Jaulent, Jean Charlet
      Pages 292-296
    6. Analyzing Differences in Operational Disease Definitions Using Ontological Modeling
      Linda Peelen, Michel C. A. Klein, Stefan Schlobach, Nicolette F. de Keizer, Niels Peek
      Pages 297-302

  7. Decision Support Systems

    1. Front Matter
      Pages 303-303
      PDF
    2. Adaptive Optimization of Hospital Resource Calendars
      I. B. Vermeulen, S. M. Bohte, S. G. Elkhuizen, J. S. Lameris, P. J. M. Bakker, J. A. La Poutré
      Pages 305-315
    3. On the Behaviour of Information Measures for Test Selection
      Danielle Sent, Linda C. van der Gaag
      Pages 316-325
    4. Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
      Alex Aussem, Sergio Rodrigues de Morais, Marilys Corbex
      Pages 326-330

About these proceedings

Keywords

artificial intelligence data mining decision support system image processing intelligence knowledge knowledge discovery learning machine learning ontology text mining

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73599-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-73598-4
  • Online ISBN 978-3-540-73599-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site