Artificial Intelligence in Medicine

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

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.

• classification
• clustering
• e-health
• semantic web
• telemedicine

• 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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