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Volumn 14, Issue 8, 2015, Pages 670-679

Google-driven search for big data in autoimmune geoepidemiology: Analysis of 394,827 patients with systemic autoimmune diseases

Author keywords

Big data; Geoepidemiology; Google; Sj gren syndrome; Systemic lupus erythematosus; Systemic sclerosis; Vasculitis

Indexed keywords

AMYLOIDOSIS; ANTIPHOSPHOLIPID SYNDROME; AUTOIMMUNE DISEASE; ETHNIC DIFFERENCE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHY; GIANT CELL ARTERITIS; HEALTH INSURANCE; HUMAN; MEDLINE; META ANALYSIS (TOPIC); MUCOCUTANEOUS LYMPH NODE SYNDROME; MYOPATHY; ONSET AGE; PUBLIC HEALTH; REVIEW; RHEUMATIC POLYMYALGIA; SARCOIDOSIS; SEARCH ENGINE; SYSTEMATIC REVIEW (TOPIC); SYSTEMIC AUTOIMMUNE DISEASE; SYSTEMIC LUPUS ERYTHEMATOSUS; SYSTEMIC SCLEROSIS; SYSTEMIC VASCULITIS; VASCULITIS; WEGENER GRANULOMATOSIS; AGE OF ONSET; AUTOIMMUNE DISEASES; HUMANS; INTERNET; SEX CHARACTERISTICS;

EID: 84930765055     PISSN: 15689972     EISSN: 18730183     Source Type: Journal    
DOI: 10.1016/j.autrev.2015.03.008     Document Type: Review
Times cited : (138)

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