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Volumn 696, Issue , 2011, Pages 181-190

Predicting individual affect of health interventions to reduce HPV prevalence

Author keywords

Computational epidemiology; Data mining; Epidemic models; Health informatics; Public health; Sentiment analysis

Indexed keywords

AFFECT; AGE; CONFERENCE PAPER; EPIDEMIC; GENDER; HEALTH BELIEF; INTERNET; MATHEMATICAL MODEL; PAPILLOMAVIRUS INFECTION; PREDICTION; PREVALENCE; PRIORITY JOURNAL; PUBLISHING; SELF REPORT; VACCINATION; ADOLESCENT; ADULT; ARTICLE; BIOLOGY; DATA MINING; FEMALE; HUMAN; MALE; PUBLIC HEALTH; STATISTICAL MODEL; UNITED STATES;

EID: 79957985884     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4419-7046-6_18     Document Type: Conference Paper
Times cited : (5)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.