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Artificial Intelligence in Medicine

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

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Riccardo Bellazzi
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  2. Ameen Abu-Hanna
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  3. Jim Hunter
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4594)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AIME 2007.

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Table of contents (66 papers)

  1. Machine Learning and Knowledge Discovery

    1. Variable Selection for Optimal Decision Making

      • Lacey Gunter, Ji Zhu, Susan Murphy
      Pages 149-154

    2. Supporting Factors in Descriptive Analysis of Brain Ischaemia

      • Dragan Gamberger, Nada Lavrač
      Pages 155-159

    3. Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences

      • Lina F. Soualmia, Badisse Dahamna
      Pages 160-164

    4. Machine Learning Techniques for Decision Support in Anesthesia

      • Olivier Caelen, Gianluca Bontempi, Luc Barvais
      Pages 165-169

    5. Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring

      • François Portet, René Quiniou, Marie-Odile Cordier, Guy Carrault
      Pages 170-174

    6. 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

    7. 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

    8. 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

    9. 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

    10. Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants

      • Steffen Leonhardt, Vojislav Kecman
      Pages 195-199

    11. 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

  2. Text Mining, Natural Language Processing and Generation

    1. Front Matter

      Pages 205-205
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    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
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