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Volumn 107, Issue , 2017, Pages 65-69

What can Google and Wikipedia can tell us about a disease? Big Data trends analysis in Systemic Lupus Erythematosus

Author keywords

Big Data; Clinical trials; Geoepidemiology; Infodemiology; Infoveillance; Systemic Lupus Erythematosus

Indexed keywords

DATA MINING; HEALTH; MONITORING; SEARCH ENGINES; WEBSITES;

EID: 85029609953     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2017.09.002     Document Type: Article
Times cited : (25)

References (6)
  • 2
    • 33744822178 scopus 로고    scopus 로고
    • Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden
    • Available at: Accessed December 2, 2016
    • Danchenko, N., Satia, J.A., Anthony, M.S., Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden. Lupus 15 (2006), 308––318 Available at: http://www.ncbi.nlm.nih.gov/pubmed/16761508 Accessed December 2, 2016.
    • (2006) Lupus , vol.15 , pp. 308-318
    • Danchenko, N.1    Satia, J.A.2    Anthony, M.S.3
  • 5
    • 85020078706 scopus 로고    scopus 로고
    • Infodemiology of systemic lupus erythematous using Google Trends
    • 96120331769137
    • Radin, M., Sciascia, S., Infodemiology of systemic lupus erythematous using Google Trends. Lupus 26 (2017), 886–889 96120331769137.
    • (2017) Lupus , vol.26 , pp. 886-889
    • Radin, M.1    Sciascia, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.