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Automated Prediction of Demographic Information from Medical User Reviews

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Mining Intelligence and Knowledge Exploration (MIKE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10089))

Abstract

The advent of personalized medicine and wide-scale drug tests has led to the development of methods intended to automatically mine and extract information regarding drug reactions from user reviews. For medical purposes, it is often important to know demographic information on the authors of these reviews; however, existing studies usually either presuppose that this information is available or disregard the issue. We study automatic mining of demographic information from user-generated texts, comparing modern natural language processing techniques, including extensions of topic models and deep neural networks, for this problem on datasets mined from health-related web sites.

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Notes

  1. 1.

    http://www.webmd.com.

  2. 2.

    http://www.askapatient.com.

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Acknowledgements

The work is performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. The work of Sergey Nikolenko was also supported by the 2016 grant “User Profiling Based on Distributed Word Representations” sponsored by Samsung. The work of Elena Tutubalina on the collection of two real-world datasets and method implementation was supported by the Russian Science Foundation grant no. 15-11-10019.

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Authors and Affiliations

  1. Kazan (Volga Region) Federal University, Kazan, Russia

    Elena Tutubalina & Sergey Nikolenko

  2. Steklov Institute of Mathematics, St. Petersburg, Russia

    Sergey Nikolenko

  3. Laboratory for Internet Studies, NRU Higher School of Economics, St. Petersburg, Russia

    Sergey Nikolenko

Authors
  1. Elena Tutubalina
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  2. Sergey Nikolenko
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Correspondence to Sergey Nikolenko .

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Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Rajendra Prasath

  2. Center for Computing Research, CIC, National Polytechnic Institute, IPN, Mexico City, Distrito Federal, Mexico

    Alexander Gelbukh

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Tutubalina, E., Nikolenko, S. (2017). Automated Prediction of Demographic Information from Medical User Reviews. In: Prasath, R., Gelbukh, A. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2016. Lecture Notes in Computer Science(), vol 10089. Springer, Cham. https://doi.org/10.1007/978-3-319-58130-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-58130-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58129-3

  • Online ISBN: 978-3-319-58130-9

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