Add to ORKGFlu Detector is a tool with a web interface for nowcasting the prevalence of Influenza-like Ill-ness (ILI) in several UK regions using the con-tents of Twitter. We automatically select a set of representative flu-words (markers, features) via Bolasso and learn their weights by applying lin-ear LS regression. Ground truth is acquired from the Health Protection Agency (HPA). Flu De-tector applies and extends the findings of [3]
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
<div><p>Influenza epidemics arise through the accumulation of viral genetic changes. The emergence o...
Abstract. We present an automated tool with a web interface for track-ing the prevalence of Influenz...
We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illn...
We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illn...
We present a method for measuring the prevalence of disease in a population by analysing the content...
Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillanc...
Twitter - a social media platform - has gained phenomenal popularity among researchers who have expl...
Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillanc...
<div><p>Twitter has the potential to be a timely and cost-effective source of data for syndromic sur...
We analyze over 500 million Twitter messages from an eight month period and find that tracking a sma...
<p>This figure shows the components of our system for estimating influenza prevalence from Twitter. ...
Background: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...
Influenza epidemics arise through the accumulation of viral genetic changes. The emergence of new vi...
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
<div><p>Influenza epidemics arise through the accumulation of viral genetic changes. The emergence o...
Abstract. We present an automated tool with a web interface for track-ing the prevalence of Influenz...
We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illn...
We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illn...
We present a method for measuring the prevalence of disease in a population by analysing the content...
Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillanc...
Twitter - a social media platform - has gained phenomenal popularity among researchers who have expl...
Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillanc...
<div><p>Twitter has the potential to be a timely and cost-effective source of data for syndromic sur...
We analyze over 500 million Twitter messages from an eight month period and find that tracking a sma...
<p>This figure shows the components of our system for estimating influenza prevalence from Twitter. ...
Background: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...
Influenza epidemics arise through the accumulation of viral genetic changes. The emergence of new vi...
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
Early detection of disease outbreaks is critical for disease spread control and management. In this ...
<div><p>Influenza epidemics arise through the accumulation of viral genetic changes. The emergence o...