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Artificial Intelligence in Medicine

14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 -- June 1, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Niels Peek

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

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  2. Roque Marín Morales

    1. Dept. of Information Egineering and Communications, University of Murcia, Espinardo, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Mor Peleg

    1. Department of Information Systems, University of Haifa, Haifa, Israel

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7885)

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

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Conference proceedings info: AIME 2013.

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Table of contents (43 papers)

  1. Front Matter

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  2. Decision Support, Guidelines and Protocols

    1. From Decision to Shared-Decision: Introducing Patients’ Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention

      • Lucia Sacchi, Carla Rognoni, Stefania Rubrichi, Silvia Panzarasa, Silvana Quaglini
      Pages 1-10

    2. Model-Based Combination of Treatments for the Management of Chronic Comorbid Patients

      • David Riaño, Antoni Collado
      Pages 11-16

    3. Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines

      • Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Di Lin, Ken Farion, Subhra Mohapatra
      Pages 17-22

    4. A Multi-agent Planning Approach for the Generation of Personalized Treatment Plans of Comorbid Patients

      • Inmaculada Sánchez-Garzón, Juan Fdez-Olivares, Eva Onaindía, Gonzalo Milla, Jaume Jordán, Pablo Castejón
      Pages 23-27

    5. Merging Disease-Specific Clinical Guidelines to Handle Comorbidities in a Clinical Decision Support Setting

      • Borna Jafarpour, Syed Sibte Raza Abidi
      Pages 28-32

    6. Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine

      • Stefano Bromuri, Maxime Morge
      Pages 33-37

  3. Semantic Technology I

    1. Rule-Based Formalization of Eligibility Criteria for Clinical Trials

      • Zhisheng Huang, Annette ten Teije, Frank van Harmelen
      Pages 38-47

    2. Characterizing Health-Related Information Needs of Domain Experts

      • Eya Znaidi, Lynda Tamine, Cecile Chouquet, Chiraz Latiri
      Pages 48-57

    3. Comparison of Clustering Approaches through Their Application to Pharmacovigilance Terms

      • Marie Dupuch, Christopher Engström, Sergei Silvestrov, Thierry Hamon, Natalia Grabar
      Pages 58-67

    4. Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach

      • Laura Moss, David Corsar, Ian Piper, John Kinsella
      Pages 68-72

    5. Learning Formal Definitions for Snomed CT from Text

      • Yue Ma, Felix Distel
      Pages 73-77

    6. Towards Automatic Patient Eligibility Assessment: From Free-Text Criteria to Queries

      • Krystyna Milian, Annette ten Teije
      Pages 78-83

  4. Bioinformatics

    1. Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking

      • Sidahmed Benabderrahmane
      Pages 84-93

    2. Knowledge-Based Identification of Multicomponent Therapies

      • Francesca Vitali, Francesca Mulas, Pietro Marini, Riccardo Bellazzi
      Pages 94-98

    3. Enhancing Random Forests Performance in Microarray Data Classification

      • Nicoletta Dessì, Gabriele Milia, Barbara Pes
      Pages 99-103

    4. Copy–Number Alterations for Tumor Progression Inference

      • Claudia Cava, Italo Zoppis, Manuela Gariboldi, Isabella Castiglioni, Giancarlo Mauri, Marco Antoniotti
      Pages 104-109

    5. Constraining Protein Docking with Coevolution Data for Medical Research

      • Ludwig Krippahl, Fábio Madeira, Pedro Barahona
      Pages 110-114

  5. Machine Learning

    1. Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients

      • Pablo Bermejo, Marta Lucas, José A. Rodríguez-Montes, Pedro J. Tárraga, Javier Lucas, José A. Gámez et al.
      Pages 115-124

    2. Predicting Adverse Drug Events by Analyzing Electronic Patient Records

      • Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström
      Pages 125-129
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About this book

This book constitutes the refereed proceedings of the 14th Conference on Artificial Intelligence in Medicine, AIME 2013, held in Murcia, Spain, in May/June 2013. The 43 revised full and short papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: decision support, guidelines and protocols; semantic technology; bioinformatics; machine learning; probabilistic modeling and reasoning; image and signal processing; temporal data visualization and analysis; and natural language processing.

Editors and Affiliations

  • Academic Medical Center, Dept. of Medical Informatics, University of Amsterdam, Amsterdam, The Netherlands

    Niels Peek

  • Dept. of Information Egineering and Communications, University of Murcia, Espinardo, Spain

    Roque Marín Morales

  • Department of Information Systems, University of Haifa, Haifa, Israel

    Mor Peleg

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