Syndromic Surveillance through Measuring Lexical Shift in Emergency Department Chief Complaint Texts

Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique

The main goal of syndromic surveillance systems is early detection of an outbreak in a society using available data sources. In this paper, we discuss what are the challenges of syndromic surveillance systems and how con…

Revisiting Non-Specific Syndromic Surveillance

Infectious disease surveillance is of great importance for the prevention of major outbreaks. Syndromic surveillance aims at developing algorithms which can detect outbreaks as early as possible by monitoring data source…

Syndromic Surveillance using Generic Medical Entities on Twitter

Chief complaint classification with recurrent neural networks

Syndromic surveillance detects and monitors individual and population health indicators through sources such as emergency department records. Automated classification of these records can improve outbreak detection speed…

Correlation-based Discovery of Disease Patterns for Syndromic Surveillance

Early outbreak detection is a key aspect in the containment of infectious diseases, as it enables the identification and isolation of infected individuals before the disease can spread to a larger population. Instead of …