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Volumn 29, Issue 2, 2014, Pages 60-80

Social media analytics for smart health

Author keywords

data analytics; intelligent systems; natural language processing; NLP; smart health; social media; Twitter

Indexed keywords

INTELLIGENT SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84903164792     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2014.29     Document Type: Article
Times cited : (49)

References (6)
  • 1
    • 60549098239 scopus 로고    scopus 로고
    • Detecting influenza epidemics using search engine query data
    • J. Ginsberg et al., "Detecting Influenza Epidemics Using Search Engine Query Data," Nature, vol. 457, 2009, pp. 1012-1014.
    • (2009) Nature , vol.457 , pp. 1012-1014
    • Ginsberg, J.1
  • 2
    • 84879892778 scopus 로고    scopus 로고
    • Web-scale pharmacovigilance: Listening to signals from the crowd
    • R.W. White et al., "Web-Scale Pharmacovigilance: Listening to Signals from the Crowd," J. Am. Medical Informatics Assoc., vol. 20, no. 3, 2013, pp. 404-408.
    • (2013) J. Am. Medical Informatics Assoc. , vol.20 , Issue.3 , pp. 404-408
    • White, R.W.1
  • 3
    • 84874210162 scopus 로고    scopus 로고
    • Pattern mining for extraction of mentions of adverse drug reactions from user comments
    • A. Nikfarjam and G.H. Gonzalez, " Pattern Mining for Extraction of Mentions of Adverse Drug Reactions from User Comments," Proc. Am. Medical Informatics Assoc. Ann. Symp., 2011, pp. 1019-1026.
    • (2011) Proc. Am. Medical Informatics Assoc. Ann. Symp. , pp. 1019-1026
    • Nikfarjam, A.1    Gonzalez, G.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.