Artificial Intelligence in Medicine

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

  • Carlo Combi
  • Yuval Shahar
  • Ameen Abu-Hanna
Conference proceedings AIME 2009
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5651)

Table of contents

  1. Front Matter
    PDF

  2. Invited Talks

    1. Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record
      Carol Friedman
      Pages 1-5
    2. Computer Vision: A Plea for a Constructivist View
      Catherine Garbay
      Pages 6-15

  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 Šajn
      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

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • Carlo Combi
    • 1
  • Yuval Shahar
    • 2
  • Ameen Abu-Hanna
    • 3
  1. 1.University of Verona, Department of Computer ScienceVeronaItaly
  2. 2.Department of Information Systems EngineeringBen Gurion University of the NegevBeer-ShevaIsrael
  3. 3.Department of Medical InformaticsUniversity of Amsterdam, Academic Medical CenterAmsterdamThe Netherlands

Bibliographic information

  • DOI 10.1007/978-3-642-02976-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02975-2
  • Online ISBN 978-3-642-02976-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349