Ansatte – Københavns Universitet

WSDM 2017 Workshop on Mining Online Health Reports: WSDM workshop summary

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WSDM 2017 Workshop on Mining Online Health Reports : WSDM workshop summary. / Collier, Nigel; Limsopatham, Nut; Culotta, Aron; Conway, Mike; Cox, Ingemar Johansson; Lampos, Vasileios.

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2017. s. 825-826.

Publikation: Bidrag til bog/antologi/rapportKommentarForskning

Harvard

Collier, N, Limsopatham, N, Culotta, A, Conway, M, Cox, IJ & Lampos, V 2017, WSDM 2017 Workshop on Mining Online Health Reports: WSDM workshop summary. i Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, s. 825-826, 10th ACM International Conference on Web Search and Data Mining, Cambridge, Storbritannien, 06/02/2017. https://doi.org/10.1145/3018661.3022761

APA

Collier, N., Limsopatham, N., Culotta, A., Conway, M., Cox, I. J., & Lampos, V. (2017). WSDM 2017 Workshop on Mining Online Health Reports: WSDM workshop summary. I Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (s. 825-826). Association for Computing Machinery. https://doi.org/10.1145/3018661.3022761

Vancouver

Collier N, Limsopatham N, Culotta A, Conway M, Cox IJ, Lampos V. WSDM 2017 Workshop on Mining Online Health Reports: WSDM workshop summary. I Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery. 2017. s. 825-826 https://doi.org/10.1145/3018661.3022761

Author

Collier, Nigel ; Limsopatham, Nut ; Culotta, Aron ; Conway, Mike ; Cox, Ingemar Johansson ; Lampos, Vasileios. / WSDM 2017 Workshop on Mining Online Health Reports : WSDM workshop summary. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2017. s. 825-826

Bibtex

@inbook{4928fa0c8de14657830bf8ff4f99ed8c,
title = "WSDM 2017 Workshop on Mining Online Health Reports: WSDM workshop summary",
abstract = "The workshop on Mining Online Health Reports (MOHRS) draws upon the rapidly developing field of Computational Health, focusing on textual content that has been gener- ated through various activities on the Web. Online user- generated information mining, especially from social media platforms and search engines, has been in the forefront of many research efforts, especially in the fields of Informa- tion Retrieval and Natural Language Processing. The in- corporation of such data and techniques in a number of health-oriented applications has provided strong evidence of the potential benefits, which include better population coverage, timeliness and applicability to places with less established health infrastructure. The workshop provides an opportunity to present relevant state-of-the-art research, and a venue for discussion between researchers with cross- disciplinary backgrounds. It will focus on the characterisa- tion of data sources, the essential methods for mining this textual information, as well as potential real-world applica- tions and the arising ethical issues. MOHRS '17 will feature 3 keynote talks and 4 accepted paper presentations, as well as a panel discussion.",
keywords = "Compu-tational health, Machine learning, Natural language processing, User-generated content",
author = "Nigel Collier and Nut Limsopatham and Aron Culotta and Mike Conway and Cox, {Ingemar Johansson} and Vasileios Lampos",
year = "2017",
month = "2",
day = "2",
doi = "10.1145/3018661.3022761",
language = "English",
pages = "825--826",
booktitle = "Proceedings of the Tenth ACM International Conference on Web Search and Data Mining",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - WSDM 2017 Workshop on Mining Online Health Reports

T2 - WSDM workshop summary

AU - Collier, Nigel

AU - Limsopatham, Nut

AU - Culotta, Aron

AU - Conway, Mike

AU - Cox, Ingemar Johansson

AU - Lampos, Vasileios

PY - 2017/2/2

Y1 - 2017/2/2

N2 - The workshop on Mining Online Health Reports (MOHRS) draws upon the rapidly developing field of Computational Health, focusing on textual content that has been gener- ated through various activities on the Web. Online user- generated information mining, especially from social media platforms and search engines, has been in the forefront of many research efforts, especially in the fields of Informa- tion Retrieval and Natural Language Processing. The in- corporation of such data and techniques in a number of health-oriented applications has provided strong evidence of the potential benefits, which include better population coverage, timeliness and applicability to places with less established health infrastructure. The workshop provides an opportunity to present relevant state-of-the-art research, and a venue for discussion between researchers with cross- disciplinary backgrounds. It will focus on the characterisa- tion of data sources, the essential methods for mining this textual information, as well as potential real-world applica- tions and the arising ethical issues. MOHRS '17 will feature 3 keynote talks and 4 accepted paper presentations, as well as a panel discussion.

AB - The workshop on Mining Online Health Reports (MOHRS) draws upon the rapidly developing field of Computational Health, focusing on textual content that has been gener- ated through various activities on the Web. Online user- generated information mining, especially from social media platforms and search engines, has been in the forefront of many research efforts, especially in the fields of Informa- tion Retrieval and Natural Language Processing. The in- corporation of such data and techniques in a number of health-oriented applications has provided strong evidence of the potential benefits, which include better population coverage, timeliness and applicability to places with less established health infrastructure. The workshop provides an opportunity to present relevant state-of-the-art research, and a venue for discussion between researchers with cross- disciplinary backgrounds. It will focus on the characterisa- tion of data sources, the essential methods for mining this textual information, as well as potential real-world applica- tions and the arising ethical issues. MOHRS '17 will feature 3 keynote talks and 4 accepted paper presentations, as well as a panel discussion.

KW - Compu-tational health

KW - Machine learning

KW - Natural language processing

KW - User-generated content

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U2 - 10.1145/3018661.3022761

DO - 10.1145/3018661.3022761

M3 - Comment

SP - 825

EP - 826

BT - Proceedings of the Tenth ACM International Conference on Web Search and Data Mining

PB - Association for Computing Machinery

ER -

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