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Artificial Intelligence in Medicine

12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, Verona, Italy, July 18-22, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Carlo Combi

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

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  2. Yuval Shahar

    1. Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer-Sheva, Israel

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  3. Ameen Abu-Hanna

    1. Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5651)

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

Included in the following conference series:

Conference proceedings info: AIME 2009.

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Table of contents (62 papers)

  1. Front Matter

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  3. Temporal Reasoning and Temporal Data Mining

    1. Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use

      • Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro Fratino, Riccardo Bellazzi
      Pages 16-25

    2. A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology

      • Corrado Loglisci, Donato Malerba
      Pages 26-35

    3. Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval

      • Jose M. Juarez, Manuel Campos, Jose Palma, F. Palacios, Roque Marin
      Pages 36-45

    4. Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection

      • Feng Gao, Yaji Sripada, Jim Hunter, François Portet
      Pages 46-55

    5. Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up

      • Paloma Chausa, César Cáceres, Lucia Sacchi, Agathe León, Felipe García, Riccardo Bellazzi et al.
      Pages 56-60

  4. Therapy Planning, Scheduling and Guideline-Based Care

    1. Modeling Clinical Guidelines through Petri Nets

      • Marco Beccuti, Alessio Bottrighi, Giuliana Franceschinis, Stefania Montani, Paolo Terenziani
      Pages 61-70

    2. Optimization of Online Patient Scheduling with Urgencies and Preferences

      • I. B. Vermeulen, S. M. Bohte, P. A. N. Bosman, S. G. Elkhuizen, P. J. M. Bakker, J. A. La Poutré
      Pages 71-80

    3. Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling

      • Samina Raza Abidi, Syed Sibte Raza Abidi
      Pages 81-85

    4. Analysing Clinical Guidelines’ Contents with Deontic and Rhetorical Structures

      • Gersende Georg, Hugo Hernault, Marc Cavazza, Helmut Prendinger, Mitsuru Ishizuka
      Pages 86-90

    5. A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance

      • Alessio Bottrighi, Federico Chesani, Paola Mello, Gianpaolo Molino, Marco Montali, Stefania Montani et al.
      Pages 91-95

    6. Goal-Based Decisions for Dynamic Planning

      • Elizabeth Black, David W. Glasspool, M. Adela Grando, Vivek Patkar, John Fox
      Pages 96-100

    7. Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients

      • Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic
      Pages 101-105

  5. Case-Based Reasoning

    1. Feasibility of Case-Based Beam Generation for Robotic Radiosurgery

      • Alexander Schlaefer, Sonja Dieterich
      Pages 106-115

    2. Conversational Case-Based Reasoning in Medical Classification and Diagnosis

      • David McSherry
      Pages 116-125

  6. Medical Imaging

    1. Histopathology Image Classification Using Bag of Features and Kernel Functions

      • Juan C. Caicedo, Angel Cruz, Fabio A. Gonzalez
      Pages 126-135

    2. Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study

      • Matjaž Kukar, Luka Å ajn
      Pages 136-145

    3. Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach

      • Aliaksei Kerhet, Cormac Small, Harvey Quon, Terence Riauka, Russell Greiner, Alexander McEwan et al.
      Pages 146-155
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About this book

This book constitutes the refereed proceedings of the 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, held in Verona, Italy in July 2009.

The 24 revised long papers and 36 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Editors and Affiliations

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

    Carlo Combi

  • Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer-Sheva, Israel

    Yuval Shahar

  • Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Amsterdam, The Netherlands

    Ameen Abu-Hanna

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