A novel web informatics approach for automated surveillance of cancer mortality trends

Journal of Biomedical Informatics

Volumn 61, Issue , 2016, Pages 110-118

  Tourassi, Georgia ^a   Yoon, Hong Jun ^a   Xu, Songhua ^b  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Breast cancer; Cancer mortality; Digital epidemiology; Lung cancer; Web informatics; Web mining

Indexed keywords

AUTOMATION; BIOLOGICAL ORGANS; COST EFFECTIVENESS; DATA MINING; INFORMATION SCIENCE; MONITORING;

BREAST CANCER; CANCER MORTALITY; INFORMATICS; LUNG CANCER; WEB MINING;

DISEASES;

AGE DISTRIBUTION; ARTICLE; BREAST CANCER; CANCER EPIDEMIOLOGY; CANCER MORTALITY; CANCER STATISTICS; COMPUTER AIDED DESIGN; CONTENT ANALYSIS; CORRELATIONAL STUDY; DATA MINING; INFORMATION RETRIEVAL; INTERNET; LUNG CANCER; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; ONLINE ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE; TREND STUDY; UNITED STATES; WEB BROWSER; BREAST TUMOR; CANCER REGISTRY; EPIDEMIOLOGY; HEALTH SURVEY; HUMAN; INCIDENCE; LUNG TUMOR; MORTALITY; NEOPLASM;

BREAST NEOPLASMS; HUMANS; INCIDENCE; INTERNET; LUNG NEOPLASMS; MEDICAL INFORMATICS; MORTALITY; NEOPLASMS; POPULATION SURVEILLANCE; SEER PROGRAM; UNITED STATES;

EID: 84962701015     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.03.027     Document Type: Article

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