Displaying results 321 - 328 of 433
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Improvement in Performance of Ngram Classifiers with Frequent Updates
Content Type: Abstract
Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which assign patient chief complaints (CC) tosyndromes. These classifiers may need to be updatedperiodically to account for changes… read more… We used a lower GI grouping of ICD9 codes created by the ESSENCE-CDC pro- ject. We then used an N-Gram method adapted … -
The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more… visits). We used as our ICD9 classifier an existing ESSENCE filter for “lower GI” modified by removing … -
Utilization of Public Health Surveillance Data for Early Detection of Drinking Water Contamination
Content Type: Abstract
The United States Environmental Protection Agency (U.S. EPA) has developed a prototype contamination warning system (CWS) for drinking water in response to Homeland Security Presidential Directive 9 (HSPD9). The goal of HSPD9 and the CWS is to… read more… health departments. The EPA is working with RODS and ESSENCE to enhance capabilities to detect a drinking water … -
Optimizing Performance of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome
Content Type: Abstract
A number of different methods are currently used to classify patients into syndromic groups based on the patient’s chief complaint (CC). We previously reported results using an “Ngram” text processing program for building classifiers… read more… visits). We used as our ICD9 classifier an existing ESSENCE filter for the respiratory syndrome, RESP. The ICD9 … -
Sensitivity and Specificity of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome in the Turkish Language
Content Type: Abstract
Previously we developed an “Ngram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in Turkish for bioterrorism. The classifier is developed from a set of ED visits for which both the ICD… read more… grouping of ICD10 codes chosen to be similar to the ESSENCE-CDC RESP ICD9 codes. We then used an Ngram method … -
Florida Department of Health Syndromic Surveillance Identifies Unreported Cases of Zika Virus Disease, 2016–2017
Content Type: Success Stories
Zika virus disease became a significant public health problem in Brazil in 2015 and quickly spread to other South American and Central American countries. While not an overly severe illness for many, Zika virus disease has been shown to increase the… read more… (7), 17 Zika virus disease cases were identified using ESSENCE*–FL. These visits were not reported to public health … (7), 17 Zika virus disease cases were identified using ESSENCE*–FL. These visits were not reported to public health … -
Syndromic Surveillance Signal Investigation in Los Angeles County
Content Type: Abstract
In the fall of 2001, the Bioterrorism Preparedness and Response (BT P&R) Unit initiated a syndromic surveillance system utilizing chief complaint data collected from Emergency Departments throughout Los Angeles County (LAC). Chief complaint data… read more… (i.e., Terrorism Early Warning Group, Pro-Med, Epi-X, ESSENCE, BioSense, ReddiNet®, VCMR, Outbreak log, coroner … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more… the first stage, we used structured data and BioSense and ESSENCE ICD 9 codes on records during the study period …