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Applying classification and anomaly detection techniques to real-world data
Content Type: Abstract
Real-world public health data often provide numerous challenges. There may be a limited amount of background data, data dropouts, noise, and human error. The data from an emergency department (ED) in Urbana, IL includes a … read more… health data often provide numerous challenges. There may be a limited amount of background data, data dropouts, … week- ends, and also adjust for the total number of ED visits on a particular day. For comparison, we grouped the … W Edwards et al. 2011, 4:s77 www.eht-journal.org page 2/2 26 … Real-world public health data often provide … -
Ontology of a Cyberenvironment for Malaria Surveillance
Content Type: Abstract
Malaria control programs suffer from weak and fragmented surveillance of the wide range of information required to manage the disease effectively and efficiently. A computational framework to manage, integrate, analyze, and visualize… read more… capabilities below the ontology in Figure 1. Each may require a very dif- ferent configuration of the …