Collier, N; Limsopatham, N; Culotta, A; Conway, M; Cox, IJ; Lampos, V; (2017) WSDM 2017 workshop on mining online health reports WSDM workshop summary. In: de Rijke, M and Shokouhi, M and Tomkins, A and Zhang, M, (eds.) WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. (pp. pp. 825-826). ACM: New York, USA.

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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 generated through the various facets of Web activity. 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 Information Retrieval and Natural Language Processing. The incorporation of such data and techniques in a number of health-oriented applications has provided strong evidence about the potential benefits, which include better population coverage, timeliness and the operational ability in places with less established health infrastructure. The workshop aims to create a platform where relevant state-of-the-art research is presented, but at the same time discussions among researchers with cross-disciplinary backgrounds can take place. It will focus on the characterisation of data sources, the essential methods for mining this textual information, as well as potential real-world applications and the arising ethical issues. MOHRS '17 will feature 3 keynote talks and 4 accepted paper presentations, together with a panel discussion session.

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