A novel data-mining approach leveraging social media to monitor consumer opinion of Sitagliptin

IEEE Journal of Biomedical and Health Informatics

Volumn 19, Issue 1, 2015, Pages 389-396

  Akay, Altug ^a   Dragomir, Andrei ^b   Erlandsson, Björn Erik ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Data mining; network analysis; self organizing map; social media

Indexed keywords

CONFORMAL MAPPING; ELECTRIC NETWORK ANALYSIS; SELF ORGANIZING MAPS; SOCIAL NETWORKING (ONLINE);

DATA COLLECTION; DATA MINING METHODS; DIABETES MELLITUS TYPE 2; EXPLORATORY ANALYSIS; INFLUENTIAL USERS; SITAGLIPTIN; SOCIAL MEDIA; STEP ANALYSIS;

DATA MINING;

ANTIDIABETIC AGENT; PYRAZINE DERIVATIVE; SITAGLIPTIN; TRIAZOLE DERIVATIVE;

ATTITUDE TO HEALTH; CONSUMER ATTITUDE; CONTROLLED VOCABULARY; DATA MINING; DIABETES MELLITUS, TYPE 2; INFORMATION DISSEMINATION; NATURAL LANGUAGE PROCESSING; PATIENT SATISFACTION; PROCEDURES; PUBLIC OPINION; SOCIAL MEDIA; STATISTICS AND NUMERICAL DATA;

ATTITUDE TO HEALTH; CONSUMER BEHAVIOR; DATA MINING; DIABETES MELLITUS, TYPE 2; HYPOGLYCEMIC AGENTS; INFORMATION DISSEMINATION; NATURAL LANGUAGE PROCESSING; PATIENT SATISFACTION; PUBLIC OPINION; PYRAZINES; SITAGLIPTIN PHOSPHATE; SOCIAL MEDIA; TRIAZOLES; VOCABULARY, CONTROLLED;

EID: 84920903503     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2295834     Document Type: Article

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