?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=WSDM+2017+workshop+on+mining+online+health+reports+WSDM+workshop+summary&rft.creator=Collier%2C+N&rft.creator=Limsopatham%2C+N&rft.creator=Culotta%2C+A&rft.creator=Conway%2C+M&rft.creator=Cox%2C+IJ&rft.creator=Lampos%2C+V&rft.description=The+workshop+on+Mining+Online+Health+Reports+(MOHRS)+draws+upon+the+rapidly+developing+field+of+Computational+Health%2C+focusing+on+textual+content+that+has+been+generated+through+the+various+facets+of+Web+activity.+Online+user-generated+information+mining%2C+especially+from+social+media+platforms+and+search+engines%2C+has+been+in+the+forefront+of+many+research+efforts%2C+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%2C+which+include+better+population+coverage%2C+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%2C+but+at+the+same+time+discussions+among+researchers+with+cross-disciplinary+backgrounds+can+take+place.+It+will+focus+on+the+characterisation+of+data+sources%2C+the+essential+methods+for+mining+this+textual+information%2C+as+well+as+potential+real-world+applications+and+the+arising+ethical+issues.+MOHRS+'17+will+feature+3+keynote+talks+and+4+accepted+paper+presentations%2C+together+with+a+panel+discussion+session.&rft.subject=Natural+Language+Processing%3B+Machine+Learning%3B+Compu-%0D%0Atational+Health%3B+User-Generated+Content&rft.publisher=ACM&rft.contributor=de+Rijke%2C+M&rft.contributor=Shokouhi%2C+M&rft.contributor=Tomkins%2C+A&rft.contributor=Zhang%2C+M&rft.date=2017-02-02&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+de+Rijke%2C+M+and+Shokouhi%2C+M+and+Tomkins%2C+A+and+Zhang%2C+M%2C+(eds.)+WSDM+'17%3A+Proceedings+of+the+Tenth+ACM+International+Conference+on+Web+Search+and+Data+Mining.++(pp.+pp.+825-826).++ACM%3A+New+York%2C+USA.+(2017)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1550379%2F1%2FCollier_WSDM_2017_workshop.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1550379%2F&rft.rights=open