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 -
Duration: 6 Feb 2017 → 10 Feb 2017
Conference number: 10