Monitoring potential drug interactions and reactions via network analysis of instagram user timelines

Pacific Symposium on Biocomputing

Volumn , Issue , 2016, Pages 492-503

  Correia, Rion Brattig ^a,b   Li, Lang ^c   Rocha, Luis M ^a,d  

^a INDIANA UNIVERSITY   (United States)

^b MINISTRY OF EDUCATION OF BRAZIL   (Brazil)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d INSTITUTO GULBENKIAN DE CIÊNCIA   (Portugal)

Author keywords

Complex network analysis; Drug interaction; Instagram; Public health; Relational inference; Social media

Indexed keywords

COMPLEX NETWORKS; DISTRIBUTED COMPUTER SYSTEMS; PATHOLOGY; POPULATION STATISTICS; PUBLIC HEALTH; SOCIAL NETWORKING (ONLINE);

ADVERSE DRUG REACTIONS; CO-OCCURRENCE NETWORKS; DRUG-DRUG INTERACTIONS; INSTAGRAM; RELATIONAL INFERENCES; SCIENTIFIC LITERATURE; SOCIAL MEDIA; SOCIAL MEDIA ANALYSIS;

DRUG INTERACTIONS;

ANTIDEPRESSANT AGENT; FLUOXETINE;

ADVERSE DRUG REACTION; BIOLOGY; DRUG INTERACTION; DRUG MONITORING; HEALTH SURVEY; HUMAN; PROCEDURES; SOCIAL MEDIA; STATISTICS AND NUMERICAL DATA; TIME FACTOR;

ANTIDEPRESSIVE AGENTS, SECOND-GENERATION; COMPUTATIONAL BIOLOGY; DRUG INTERACTIONS; DRUG MONITORING; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; FLUOXETINE; HUMANS; PUBLIC HEALTH SURVEILLANCE; SOCIAL MEDIA; TIME FACTORS;

EID: 85012202904     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789814749411_0045     Document Type: Conference Paper

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