{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:27:49Z","timestamp":1725708469863},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,10]]},"DOI":"10.1109\/healthcom.2012.6379425","type":"proceedings-article","created":{"date-parts":[[2012,12,18]],"date-time":"2012-12-18T21:53:45Z","timestamp":1355867625000},"page":"303-308","source":"Crossref","is-referenced-by-count":6,"title":["A robust and scalable framework for detecting self-reported illness from twitter"],"prefix":"10.1109","author":[{"given":"Muhammad Asif Hossain","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masayuki","family":"Iwai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaoru","family":"Sezaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Foundations of Statistical Natural Language Processing","year":"1999","author":"manning","key":"15"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367510"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1145\/2063212.2063223"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1038\/414716a"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1038\/nature02541"},{"journal-title":"On the Mode of Communion of Cholera","year":"1855","author":"snow","key":"1"},{"key":"10","article-title":"Using prediction markets and Twitter to predict a swine flu pandemic","author":"ritterman","year":"0","journal-title":"Proc of International Workshop on Mining Social Media 2009"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964874"},{"key":"6","article-title":"A new age of public health: Identifying disease outbreaks by analyzing tweets","author":"krieck","year":"0","journal-title":"Proc of HWS Workshop ACM Web Science Conf 2011"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1086\/593098"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1038\/nature07634"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.2012.11-0597"},{"key":"8","first-page":"599","article-title":"Flu detector - Tracking epidemics on Twitter","author":"lampos","year":"2010","journal-title":"Machine Learning and Knowledge Discovery in Databases"}],"event":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom 2012)","start":{"date-parts":[[2012,10,10]]},"location":"Beijing","end":{"date-parts":[[2012,10,13]]}},"container-title":["2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/6362316\/6379371\/06379425.pdf?arnumber=6379425","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T22:53:58Z","timestamp":1592434438000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6379425\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/healthcom.2012.6379425","relation":{},"subject":[],"published":{"date-parts":[[2012,10]]}}}