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Artificial Intelligence in Medicine

13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Mor Peleg

    1. Faculty of Social Sciences, Department of Information Systems, University of Haifa,, Israel

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  2. Nada Lavrač

    1. Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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    You can also search for this editor in PubMed   Google Scholar

  3. Carlo Combi

    1. Department of Computer Science, University of Verona, Verona, Italy

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  • Fast track proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6747)

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

Included in the following conference series:

Conference proceedings info: AIME 2011.

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Table of contents (45 papers)

  1. Front Matter

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  3. Knowledge-Based Systems

    1. Elicitation of Neurological Knowledge with ABML

      • Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Možina, Dejan Georgiev, Veronika Kragelj et al.
      Pages 14-23

    2. Intelligent Configuration of Social Support Networks Around Depressed Persons

      • Azizi A. Aziz, Michel C. A. Klein, Jan Treur
      Pages 24-34

    3. Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments

      • Maria Adela Grando, Laura Moss, David Glasspool, Derek Sleeman, Malcolm Sim, Charlotte Gilhooly et al.
      Pages 35-44

    4. How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosis

      • Adrien Ugon, Jean-Gabriel Ganascia, Carole Philippe, Hélène Amiel, Pierre Lévy
      Pages 45-54

    5. Ontology-Based Generation of Dynamic Feedback on Physical Activity

      • Wilko Wieringa, Harm op den Akker, Valerie M. Jones, Rieks op den Akker, Hermie J. Hermens
      Pages 55-59

  4. Data Mining

    1. A Case Study of Stacked Multi-view Learning in Dementia Research

      • Rui Li, Andreas Hapfelmeier, Jana Schmidt, Robert Perneczky, Alexander Drzezga, Alexander Kurz et al.
      Pages 60-69

    2. Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate

      • Fernando García-García, Gema García-Sáez, Paloma Chausa, Iñaki Martínez-Sarriegui, Pedro José Benito, Enrique J. Gómez et al.
      Pages 70-79

    3. A Data Mining Library for miRNA Annotation and Analysis

      • Angelo Nuzzo, Riccardo Beretta, Francesca Mulas, Valerie Roobrouck, Catherine Verfaillie, Blaz Zupan et al.
      Pages 80-84

    4. Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles

      • Lan Zagar, Francesca Mulas, Riccardo Bellazzi, Blaz Zupan
      Pages 85-89

    5. Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinations

      • Aydano P. Machado, João Marcelo Lyra, Renato Ambrósio Jr., Guilherme Ribeiro, Luana P. N. Araújo, Camilla Xavier et al.
      Pages 90-95

    6. HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythm

      • Alan Jovic, Nikola Bogunovic
      Pages 96-100

  5. Special Session on AI Applications

    1. Lessons Learned from Implementing and Evaluating Computerized Decision Support Systems

      • Saeid Eslami, Nicolette F. de Keizer, Evert de Jonge, Dave Dongelmans, Marcus J. Schultz, Ameen Abu-Hanna
      Pages 101-108

    2. CARDSS: Development and Evaluation of a Guideline Based Decision Support System for Cardiac Rehabilitation

      • Niels Peek, Rick Goud, Nicolette de Keizer, Mariëtte van Engen-Verheul, Hareld Kemps, Arie Hasman
      Pages 109-118

    3. Using Formal Concept Analysis to Discover Patterns of Non-compliance with Clinical Practice Guidelines: A Case Study in the Management of Breast Cancer

      • Nizar Messai, Jacques Bouaud, Marie-Aude Aufaure, Laurent Zelek, Brigitte Séroussi
      Pages 119-128

    4. Integrating Clinical Decision Support System Development into a Development Process of Clinical Practice – Experiences from Dementia Care

      • Helena Lindgren
      Pages 129-138

    5. Personalized Techniques for Lifestyle Change

      • Jill Freyne, Shlomo Berkovsky, Nilufar Baghaei, Stephen Kimani, Gregory Smith
      Pages 139-148

    6. The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

      • Stephen E. Rees, Dan S. Karbing, Charlotte Allerød, Marianne Toftegaard, Per Thorgaard, Egon Toft et al.
      Pages 149-158
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About this book

This book constitutes the refereed proceedings of the 13th Conference on Artificial Intelligence in Medicine, AIME 2011, held in Bled, Slovenia, in July 2011.

The 42 revised full and short papers presented together with 2 invited talks were carefully reviewed and selected from 113 submissions. The papers are organized in topical sections on knowledge-based systems; data mining; special session on AI applications; probabilistic modeling and reasoning; terminologies and ontologies; temporal reasoning and temporal data mining; therapy planning, scheduling and guideline-based care; and natural language processing.

Editors and Affiliations

  • Faculty of Social Sciences, Department of Information Systems, University of Haifa,, Israel

    Mor Peleg

  • Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

    Nada Lavrač

  • Department of Computer Science, University of Verona, Verona, Italy

    Carlo Combi

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