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MedIR @ SIGIR 2014

July 11, 2014

Held in Gold Coast, Australia

Medical Information Retrieval Workshop at SIGIR 2014

Editors:

Lorraine Goeuriot

Gareth J.F. Jones

Liadh Kelly

Henning M¨ uller

Justin Zobel

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c SIGIR MedIR workshop 2014. Copyright is held by the author / owner(s)

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Preface

Medical information is accessible from diverse sources including the general web, social media, journal articles, and hospital records; users include patients and their families, researchers, practitioners and clinicians. Challenges in medical information retrieval include: diversity of users and user ability; variations in the format, reliability, and quality of biomedical and medical information; the multimedia nature of data; and the need for accuracy and reliability. The ob- jective of the Medical Information Retrieval workshop is to provide a forum to enable the progression of research in medical information retrieval to pro- vide enhanced search services for all users with interests in medical information search. The workshop aims to bring together researchers interested in medical information search with the goal of identifying specific research challenges that need to be addressed to advance the state-of-the-art and to foster interdisci- plinary collaborations towards the meeting of these challenges. To enable this, we encouraged participation from researchers in all fields related to medical in- formation search including mainstream information retrieval, but also natural language processing, multilingual text processing, and medical image analysis.

The organizers would like to thank Dr Karin Verspoor (University of Melbourne, Australia) for giving a keynote talk at the workshop, paper authors for their invaluable contribution, the members of the program committee for their help in the reviewing process, and SIGIR for hosting the event.

Lorraine Goeuriot Gareth J.F. Jones Liadh Kelly Henning M¨uller Justin Zobel

July 2014

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Organization

Program Committee Chairs

Lorraine Goeuriot, Dublin City University, Ireland Gareth JF Jones, Dublin City University, Ireland Liadh Kelly, Dublin City University, Ireland

Henning M¨uller, University of Applied Sciences Western Switzerland Justin Zobel, University of Melbourne, Australia

Program Committee

Eiji Aramaki, Kyoto University, Japan Celia Boyer, Health on the Net, Switzerland Ben Carterette, University of Delaware, USA

Allan Hanbury, Vienna University of Technology, Austria William Hersh, Oregon Health and Science University, USA Jung-Jae Kim, Nanyang Technological University, Singapore Gang Luo, University of Utah, USA

Iadh Ounis, University of Glasgow, UK Patrick Ruch, HES-SO, Switzerland

Stefan Schulz, Medical University Graz, Austria Karin Verspoor, NICTA, Australia

Ellen Voorhees, NIST, USA

Ryen White, Microsoft Research, USA Elad Yom-Tov, Microsoft Research, USA Pierre Zweigenbaum, LIMSI, France

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Table of Contents

Preface ... III Organization ... IV Table of Contents ... V Overview

Report on the SIGIR 2014 Workshop on Medical Information Retrieval (MedIR) ... 1 Keynote

Practice-based Evidence in Medicine: Where Information Retrieval Meets Data Mining ... 4 Karin Verspoor

Papers

Designing for Health Exploratory Seeking Behaviour ... 5 Patrick Cheong-Iao Pang, Karin Verspoor, Shanton Chang and Jon Pearce.

Evaluation of Coreference Resolution for Biomedical Tex ... 9 Miji Choi, Karin Verspoor and Justin Zobel.

Retrieving Attitudes: Sentiment Analysis from Clinical Narratives ... 12 Yihan Deng, Matthaeus Stoehr and Kerstin Denecke.

Why Assessing Relevance in Medical IR is Demanding ... 16 Bevan Koopman and Guido Zuccon.

Multi-modal relevance feedback for medical image retrieval... 20 Dimitrios Markonis, Roger Schaer and Henning Müller.

A Joint Local-Global Approach for Medical Terminology Assignment ... 24 Liqiang Nie, Mohammad Akbari, Tao Li and Tat-Seng Chua.

Exploring Clustering Based Knowledge Discovery towards Improved Medical Diagnosis ... 28 Rajendra Prasath and Philip O'Reilly.

Integrating Understandability in the Evaluation of Consumer Health Search Engines ... 32 Guido Zuccon and Bevan Koopman.

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