Displaying results 2217 - 2224 of 4268
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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 -
Assessing address data quality for public health surveillance in Montreal
Content Type: Abstract
In Montreal, notifiable diseases are reported to the Public Health Department (PHD). Of 44, 250 disease notifications received in 2009, up to 25% had potential address errors. These can be introduced during transcription, handwriting… read more -
Asthma patterns in Boston emergency department visits for children age five and under
Content Type: Abstract
The burden of asthma on the youngest children in Boston is largely characterized through hospitalizations and self-report surveys. Hospitalization rates are highest in Black and Hispanic populations under age five. A study of… read more -
Automated detection of data entry errors in a real time surveillance system
Content Type: Abstract
Real-Time Biosurveillance Program (RTBP) introduces modern surveillance technology to health departments in Sri Lanka and Tamil Nadu, India. Triage data from each patient visit (basic demographics, signs, symptoms, preliminary… read more -
Influenza surveillance using inpatient health information exchange data
Content Type: Abstract
During the 2009 H1N1 influenza pandemic, the Washington State Department of Health (DOH) temporarily made lab-confirmed influenza hospitalizations and deaths reportable. As reporting influenza hospitalizations is resource intensive for hospitals,… read more -
Automated surveillance and public health reporting for gestational diabetes incidence and care using electronic health record data
Content Type: Abstract
Public health departments have a strong interest in monitoring the incidence, care, and complications of gestational diabetes, as it is associated with poor outcomes for infants and increased risk of diabetes type II for mothers.… read more -
Correlation Between Influenza-Like Illness Reported by ILINet and NSSP, Kansas, 2014-2015
Content Type: Abstract
Influenza is not a notifiable disease in Kansas; patient-level influenza data is not reported to the Kansas Department of Health and Environment (KDHE). Kansas’ primary method of influenza surveillance is the U.S. Outpatient Influenza-like Illness… read more -
Automatically tracking diabetes using information in physicians’ notes
Content Type: Abstract
Patient consultations recorded as voice dictations are frequently stored electronically as transcriptions in free text format. The information stored in free text is not computer tractable. Advances in artificial intelligence permit the… read more