Displaying results 9 - 14 of 14
Prevalence of Hepatitis C Testing Among Non-Institutionalized Individuals in the US, NHIS 2013-2017
Content Type: Abstract
Hepatitis C virus (HCV) infection is the most common blood-borne disease in the US and the leading cause of liver-related morbidity and mortality. Approximately 3.5 million individuals in the US were estimated to have been living with hepatitis C in… read moreTrend analysis in hepatitis C testing, OptumLabsî Data Warehouse, 2011âÂÂ2017
Content Type: Abstract
Hepatitis C virus (HCV) infection is the most common blood-borne disease in the US and the leading cause of liver-related morbidity and mortality. Approximately 3.5 million individuals in the US were estimated to be living with HCV in 2010 and… read moreA machine-learning algorithm to identify hepatitis C in health insurance claims data
Content Type: Abstract
Hepatitis C virus (HCV) infection is a leading cause of liver disease-related morbidity and mortality in the United States. Monitoring the burden of chronic HCV infection requires robust methods to identify patients with infection. Insurance claims… read moreA review of automated text classification in event-based biosurveillance
Content Type: Abstract
Event-based biosurveillance is a practice of monitoring diverse information sources for the detection of events pertaining to human, plant, and animal health. Online documents, such as news articles, newsletters, and (micro-) blog entries, are… read moreApplication of Event-Based Biosurveillance to the 2011 E. coli Outbreak in Germany
Content Type: Abstract
Argus is an event-based, multi-lingual surveillance system which captures and analyzes information from publicly available Internet media. Argus produces reports that summarize and contextualize indications and warning (I&W) of emerging… read moreApplication of Event-Based Biosurveillance to Disease Emergence in Isolated Regions
Content Type: Abstract
Argus is an event-based surveillance system which captures information from publicly available Internet media in multiple languages. The information is contextualized and indications and warning (I&W) of disease are identified. Reports are… read more