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Artificial intelligence in medicine , 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001 : proceedings

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Author: Conference on Artificial Intelligence in Medicine in Europe (8th : 2001 : Cascais, Portugal), Quaglini, Silvana, 1957-, Barahona, P. (Pedro), 1954-, Andreassen, Steen

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Added Date: 2015-12-30

Language: eng

Subjects: Artificial intelligence, Artificial Intelligence, Medical Informatics

Publishers: Berlin ; New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 3540422943

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 251.35 MB

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Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings
Author: Silvana Quaglini, Pedro Barahona, Steen Andreassen
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42294-5
DOI: 10.1007/3-540-48229-6

Table of Contents:

  • Mediated Agent Interaction
  • On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems
  • Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS
  • Detection of Infectious Outbreaks in Hospitals through Incremental Clustering
  • Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma
  • Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease
  • Visualisation of Multidimensional Data for Medical Decision Support
  • A clustering-based constructive induction method and its application to rheumatoid arthritis
  • Improving Identification of Difficult Small Classes by Balancing Class Distribution
  • Credal Classification for Dementia Screening
  • Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools
  • Making Reliable Diagnoses with Machine Learning: A Case Study
  • A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care
  • Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database
  • Coronary Heart Disease Patient Models Based on Inductive Machine Learning
  • Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method
  • Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients
  • Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System
  • A User Interface for Executing Asbru Plans
  • Improving HISYS1 with a Decision Support System

Includes bibliographical references and index

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