Displaying results 337 - 344 of 378
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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 … -
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 … -
Utilizing Emergency Department Data to Evaluate Primary Care Clinic Hours
Content Type: Abstract
In addition to utilizing syndromic surveillance data to respond to public health threats and prepare for major incidents, local health departments can utilize the data to examine patient volumes in the emergency departments (EDs) of… read more… hours’ impact on ED use. METHODS All 2007 ED visits from ESSENCE for the urban public hospital were analyzed for … -
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 … -
Evaluation of Body Temperature to Classify Influenza-Like Illness (ILI) in a Syndromic Surveillance System
Content Type: Abstract
This study aims to evaluate the sensitivity, specificity and Positive Predictive Value (PPV) of body temperature measurements > 100.5 F in relationship to laboratory confirmation of influenza and other ILI pathogens.… For each of ten codes used to profile the ILI syndrome in ESSENCE (the Department of Defense’s syndromic surveillance … -
CDC All Drug Overdose v3 Parsed
Content Type: Syndrome
Query purpose: To assist state, local, tribal, territorial, and federal public health practitioners in monitoring emergency department (ED) visits for suspected nonfatal overdoses involving any drug using syndromic surveillance… read more… poisoning of unintentional or undetermined intent. Within ESSENCE, the syndrome query is applied to the Chief … Revision of All Drug Overdose v2 Date Added to ESSENCE: January 16, 2024 Definition Description: The CDC … -
Using Syndromic Data to Examine Flooding
Content Type: Success Stories
Wisconsin experienced severe flooding from August 17 to September 20, 2018. This flood caused an estimated $232 million in damage and affected 21 counties. Floods can have negative health impacts on a population, such as increased skin infections,… read more… used the Early Notification of Community based Epidemics (ESSENCE), a tool within BioSense, to track flood-related … disasters and disease outbreaks are being set up through ESSENCE. There is an effort to get more DHS employees signed … -
Systematic Comparison of Algorithms Used in Syndromic Surveillance
Content Type: Abstract
Varied approaches have been used by syndromic surveillance systems for aberration detection. However, the performance of these methods has been evaluated only across a small range of epidemic characteristics. Objective… read more… Weighted Moving Average (EWMA) algorithms used by the ESSENCE system [3], with smoothing constants of 0.4 and 0.9; …