Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Artificial Intelligence in Medicine

8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Silvana Quaglini

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Pedro Barahona

    1. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Steen Andreassen

    1. Department of Medical Informatics and Image Analysis, Aalborg University, AlborgØst, Denmark

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2101)

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation, intelligent agents, telemedicine, careflow systems, and cognitive modeling.

Similar content being viewed by others

Keywords

Table of contents (63 papers)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Mediated Agent Interaction

    • Enrico Coiera
    Pages 1-15

  3. On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems

    • Jos Aarts
    Pages 16-19

  4. Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS

    • B. Sierra, E. Lazkano, I. Inza, M. Merino, P. Larrañaga, J. Quiroga
    Pages 20-29

  5. Detection of Infectious Outbreaks in Hospitals through Incremental Clustering

    • Timothy Langford, Christophe Giraud-Carrier, John Magee
    Pages 30-39

  6. Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma

    • Riccardo Bellazzi, Ivano Azzini, Gianna Toffolo, Stefano Bacchetti, Mario Lise
    Pages 40-49

  7. Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease

    • N. Durand, B. Crémilleux, M. Henry-Amar
    Pages 50-54

  8. Visualisation of Multidimensional Data for Medical Decision Support

    • A. Rosemary Tate, Joshua Underwood, Christophe Ladroue, Rosemary Luckin, John R. Griffiths
    Pages 55-58

  9. A clustering-based constructive induction method and its application to rheumatoid arthritis

    • José A. Sanandrés, Víctor Maojo, José Crespo, Agustń Gómez
    Pages 59-62

  10. Improving Identification of Difficult Small Classes by Balancing Class Distribution

    • Jorma Laurikkala
    Pages 63-66

  11. Credal Classification for Dementia Screening

    • Marco Zaffalon, Keith Wesnes, Orlando Petrini
    Pages 67-76

  12. Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools

    • Marko Robnik-Šikonja, David Cukjati, Igor Kononenko
    Pages 77-87

  13. Making Reliable Diagnoses with Machine Learning: A Case Study

    • Matjaž Kukar
    Pages 88-98

  14. A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care

    • Ameen Abu-Hanna, Nicolette de Keizer
    Pages 99-108

  15. Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database

    • Tomislav Šmuc, Dragan Gamberger, Goran Krstačić
    Pages 109-112

  16. Coronary Heart Disease Patient Models Based on Inductive Machine Learning

    • Goran Krstačič, Dragan Gamberger, Tomislav Šmuc
    Pages 113-116

  17. Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method

    • Markku Siermala
    Pages 117-120

  18. Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients

    • Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi
    Pages 121-130

  19. Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System

    • Stephen E. Rees, Charlotte Allerød, Søren Kjærgaard, Egon Toft, Per Thorgaard, Steen Andreassen
    Pages 131-135

  20. A User Interface for Executing Asbru Plans

    • Robert Kosara, Silvia Miksch
    Pages 136-139
Back to top

Editors and Affiliations

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

    Silvana Quaglini

  • Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal

    Pedro Barahona

  • Department of Medical Informatics and Image Analysis, Aalborg University, AlborgØst, Denmark

    Steen Andreassen

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation