Four classifiers were evaluated to determine differences in case detection for heat related illness. The results of those classifiers, as applied to data from Northern Illinois ESSENCE participating hospitals from May 1, 2012 through August 31, 2012, will be discussed. Three refined syndrome definitions for heat related illness (chief complaint-based, discharge diagnosis-based, and both chief complaint and discharge diagnosis) were created based on the four evaluated classifiers and these classifiers were applied to current 2013 data. The application of the syndrome definition is dependent on a jurisdiction's purpose for conducting heat related illness surveillance
In a distributed model of intelligence, peer components need to communicate with one another. I pres...
The study included 24,516 newborns who were born between 2007 and 2011 in Louisiana and failed initi...
The objective of this concept is to combine evidence from multiple sources of data, some in real-tim...
This abstract assesses the seasonal trends in respiratory illnesses using South Carolina syndromic s...
Developing effective data-driven algorithms and visualizations for disease surveillance hinges on th...
Generalised estimating equations have been well established to draw inference for the marginal mean ...
Automatic Speech Recognition systems typically use smoothed spectral features as acoustic observatio...
Chlamydia, a sexually transmitted infection, is the most commonly reported nationally notifable dise...
Potential benefits obtained through multi-species surveillance have been widely discussed. We examin...
Situational awareness is important for both early warning and early detection of a disease outbreak....
While other surveillance systems may only use death and admissions as severity indicators, these ser...
This analysis compares ED discharge diagnosis data with ED chief complaint data to assess the validi...
Gathering information to adjudicate notifiable disease cases can be complex and time-consuming. Grea...
We present a new method for disease outbreak detection, the "Non-Parametric Heterogeneous Graph Scan...
The chief complaint (CC) text field is a rich source of information, but its current use for syndrom...
In a distributed model of intelligence, peer components need to communicate with one another. I pres...
The study included 24,516 newborns who were born between 2007 and 2011 in Louisiana and failed initi...
The objective of this concept is to combine evidence from multiple sources of data, some in real-tim...
This abstract assesses the seasonal trends in respiratory illnesses using South Carolina syndromic s...
Developing effective data-driven algorithms and visualizations for disease surveillance hinges on th...
Generalised estimating equations have been well established to draw inference for the marginal mean ...
Automatic Speech Recognition systems typically use smoothed spectral features as acoustic observatio...
Chlamydia, a sexually transmitted infection, is the most commonly reported nationally notifable dise...
Potential benefits obtained through multi-species surveillance have been widely discussed. We examin...
Situational awareness is important for both early warning and early detection of a disease outbreak....
While other surveillance systems may only use death and admissions as severity indicators, these ser...
This analysis compares ED discharge diagnosis data with ED chief complaint data to assess the validi...
Gathering information to adjudicate notifiable disease cases can be complex and time-consuming. Grea...
We present a new method for disease outbreak detection, the "Non-Parametric Heterogeneous Graph Scan...
The chief complaint (CC) text field is a rich source of information, but its current use for syndrom...
In a distributed model of intelligence, peer components need to communicate with one another. I pres...
The study included 24,516 newborns who were born between 2007 and 2011 in Louisiana and failed initi...
The objective of this concept is to combine evidence from multiple sources of data, some in real-tim...