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

TY - GEN

T1 - WSDM 2017 Workshop on Mining Online Health Reports

T2 - 10th ACM International Conference on Web Search and Data Mining

AU - Collier, Nigel

AU - Limsopatham, Nut

AU - Culotta, Aron

AU - Conway, Mike

AU - Cox, Ingemar Johansson

AU - Lampos, Vasileios

N1 - Conference code: 10

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

UR - http://www.scopus.com/inward/record.url?scp=85015332200&partnerID=8YFLogxK

U2 - 10.1145/3018661.3022761

DO - 10.1145/3018661.3022761

M3 - Comment

AN - SCOPUS:85015332200

SP - 825

EP - 826

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

PB - Association for Computing Machinery

Y2 - 6 February 2017 through 10 February 2017

ER -