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Analysis of user activities on popular medical forums. / Kamalov, M. V.; Dobrynin, V. Y.; Balykina, Y. E.; Martynov, R. S.

BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).. IOP Publishing Ltd., 2017. 012007 (Journal of Physics: Conference Series; Vol. 913).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kamalov, MV, Dobrynin, VY, Balykina, YE & Martynov, RS 2017, Analysis of user activities on popular medical forums. in BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).., 012007, Journal of Physics: Conference Series, vol. 913, IOP Publishing Ltd., 4th Big Data Conference (BDC), Moscow, 15/09/17. https://doi.org/10.1088/1742-6596/913/1/012007

APA

Kamalov, M. V., Dobrynin, V. Y., Balykina, Y. E., & Martynov, R. S. (2017). Analysis of user activities on popular medical forums. In BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS). [012007] (Journal of Physics: Conference Series; Vol. 913). IOP Publishing Ltd.. https://doi.org/10.1088/1742-6596/913/1/012007

Vancouver

Kamalov MV, Dobrynin VY, Balykina YE, Martynov RS. Analysis of user activities on popular medical forums. In BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).. IOP Publishing Ltd. 2017. 012007. (Journal of Physics: Conference Series). https://doi.org/10.1088/1742-6596/913/1/012007

Author

Kamalov, M. V. ; Dobrynin, V. Y. ; Balykina, Y. E. ; Martynov, R. S. / Analysis of user activities on popular medical forums. BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).. IOP Publishing Ltd., 2017. (Journal of Physics: Conference Series).

BibTeX

@inproceedings{d8ec5fe0e835411dbfdc8f1943288878,
title = "Analysis of user activities on popular medical forums",
abstract = "The paper is devoted to detailed investigation of users' behavior and level of expertise on online medical forums. Two popular forums were analyzed in terms of presence of experts who answer health related questions and participate in discussions. This study provides insight into the quality of medical information that one can get from the web resources, and also illustrates relationship between approved medical experts and popular authors of the considered forums. During experiments several machine learning and natural language processing methods were evaluated against to available web content to get further understanding of structure and distribution of information about medicine available online nowadays. As a result of this study the hypothesis of existing correlation between approved medical experts and popular authors has been rejected.",
author = "Kamalov, {M. V.} and Dobrynin, {V. Y.} and Balykina, {Y. E.} and Martynov, {R. S.}",
year = "2017",
month = oct,
day = "25",
doi = "10.1088/1742-6596/913/1/012007",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing Ltd.",
booktitle = "BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).",
address = "United Kingdom",
note = "4th Big Data Conference (BDC) ; Conference date: 15-09-2017",

}

RIS

TY - GEN

T1 - Analysis of user activities on popular medical forums

AU - Kamalov, M. V.

AU - Dobrynin, V. Y.

AU - Balykina, Y. E.

AU - Martynov, R. S.

PY - 2017/10/25

Y1 - 2017/10/25

N2 - The paper is devoted to detailed investigation of users' behavior and level of expertise on online medical forums. Two popular forums were analyzed in terms of presence of experts who answer health related questions and participate in discussions. This study provides insight into the quality of medical information that one can get from the web resources, and also illustrates relationship between approved medical experts and popular authors of the considered forums. During experiments several machine learning and natural language processing methods were evaluated against to available web content to get further understanding of structure and distribution of information about medicine available online nowadays. As a result of this study the hypothesis of existing correlation between approved medical experts and popular authors has been rejected.

AB - The paper is devoted to detailed investigation of users' behavior and level of expertise on online medical forums. Two popular forums were analyzed in terms of presence of experts who answer health related questions and participate in discussions. This study provides insight into the quality of medical information that one can get from the web resources, and also illustrates relationship between approved medical experts and popular authors of the considered forums. During experiments several machine learning and natural language processing methods were evaluated against to available web content to get further understanding of structure and distribution of information about medicine available online nowadays. As a result of this study the hypothesis of existing correlation between approved medical experts and popular authors has been rejected.

UR - http://www.scopus.com/inward/record.url?scp=85034225324&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/913/1/012007

DO - 10.1088/1742-6596/913/1/012007

M3 - Conference contribution

AN - SCOPUS:85034225324

T3 - Journal of Physics: Conference Series

BT - BIGDATA CONFERENCE (FORMERLY INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS).

PB - IOP Publishing Ltd.

T2 - 4th Big Data Conference (BDC)

Y2 - 15 September 2017

ER -

ID: 75341221