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SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians

Published: 07 August 2017 Publication History

Abstract

The HS2017 tutorial will cover topics from an area of information retrieval (IR) with significant societal impact - health search. Whether it is searching patient records, helping medical professionals find best-practice evidence, or helping the public locate reliable and readable health information online, health search is a challenging area for IR research with an actively growing community and many open problems. This tutorial will provide attendees with a full stack of knowledge on health search, from understanding users and their problems to practical, hands-on sessions on current tools and techniques, current campaigns and evaluation resources, as well as important open questions and future directions.

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  1. SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians

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    cover image ACM Conferences
    SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
    August 2017
    1476 pages
    ISBN:9781450350228
    DOI:10.1145/3077136
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 07 August 2017

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    Author Tags

    1. consumer health search
    2. domain specific information retrieval
    3. domain specific search
    4. health information retrieval
    5. health information seeking
    6. health search
    7. medical information retrieval

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    SIGIR '17 Paper Acceptance Rate 78 of 362 submissions, 22%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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