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Displaying results 41 - 48 of 900
  • Ellipse-Based Clustering Analysis Using a Time Series Algorithm

    Content Type: Abstract

    Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more
    … to normalize the counts (e.g., emergency department visits) within a geographic region. This paper presents … of Biosurveillance: Academic Press; 2006. 2. Tsui F-C, Espino JU, et. al. Key design elements of a data … web service model. Proc AMIA Symp 2005. 3. Zhang J, Tsui FC, Wagner MM, Hogan WR. Detection of out- breaks from time …
  • The spatial-temporal pattern of excess influenza visits at the (sub-)urban scale

    Content Type: Abstract

    Quantifying the spatial-temporal diffusion of diseases such as seasonal influenza is difficult at the urban scale for a variety of reasons including the low specificity of the extant data, the heterogenous nature of healthcare seeking… read more
    … Document The_Spatial_Temporal_Pattern_Of_Excess_Influenza_Visits_At_The_Suburban_Scale.pdf Submitted by hparton on … ABSTRACT The spatial-temporal pattern of excess influenza visits at the (sub-)urban scale KJ Konty, and DR Olson New … data from 50 of 55 ED’s in NYC representing 95% of all ED visits. An archive of prospective analyses records all …
  • A data simulation model using NRDM pharmaceutical sales counts

    Content Type: Abstract

    In disease surveillance, an outbreak is often present in more than one data type. If each data type is analyzed separately rather than combined, the statistical power to detect an outbreak may suffer because no single data source… read more
    … combined, the statistical power to detect an outbreak may suffer because no single data source captures all the … 2011, 4:s49. doi: 10.3134/ehtj.10.049 & 2011 J Que and F-C Tsui.; licensee Emerging Health Threats Journal. … surveillance. Stat Med 2007;26:1824–33. 2 Wagner MM, Tsui FC, Espino J, Hogan W, Hutman J, Hersh J. National Retail …
  • Comparison of Influenza-like Illness Syndrome Classification Between Two Syndromic Surveillance Systems

    Content Type: Abstract

    In 2004, the BioDefend (BD) syndromic surveillance (SS) system was implemented in Duval County hospitals (Jacksonville, FL). Daily emergency department chief complaints are manually classified and entered into the BD system by… read more
    … one using a clinician’s classification of reason for visit and the other using an automated chief complaint … The timing of statistical alerts between the systems was com- pared in relation to when sentinel influenza re- … II). J Urban Health. 2003;80(suppl 1):I32–42. [3] Tsui F-C, Espino JU, Dato VM, Gesteland PH, Hutman J, Wagner MM. …
  • 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
    …   Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which … chief complaints (CC) tosyndromes. These classifiers may need to be updatedperiodically to account for changes … automatically based on a training set of patient visits for which both the CC and ICD9 are available. This …
  • Investigating Syndromic Peaks Using Remotely Available Electronic Medical Records

    Content Type: Abstract

    One limitation of syndromic surveillance systems based on emergency department (ED) data is the time and expense to investigate peak signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical… read more
    … signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical … (EMRs) which are available remotely in real time. This may facilitate the investigation of peak signals. Document … or absence of selected pertinent data elements for each visit, and also to assign each visit to one or more defined …
  • Defining and Applying a Method for Establishing Gold Standard Sets of Emergency Room Visit Data

    Content Type: Abstract

    The goal of this paper is to describe a methodology used to create a gold standard set of emergency department (ED) data that can subsequently be used to evaluate the sensitivity and specificity of syndrome definitions.
    … thod_For_Establishing_Gold_Standard_Sets_Of_Emergency_Room_Visit_Data.pdf Submitted by elamb on Mon, 07/30/2018 - 08:40 … definitions. METHODS There are about 1.1 millions total visits in the North Carolina Disease Event Tracking and … 2005 static database. Once we removed all injury related visits we were left with 956,015 records. Automated and …
  • Comparison of Ambulatory Electronic Health Record and Emergency Department Visit Log Data for Respiratory, Fever, and GI Syndromes

    Content Type: Abstract

    This paper describes three years of electronic health record (EHR) data from a network of urban ambulatory care clinics in New York City.
    … bulatory_Electronic_Health_Record_And_Emergency_Department_Visit_Log_Data_For_Respiratory_Fever_And_Gi_Syndromes.pdf … was examined. Patient encounter data including reason for visit, measured temperature, and diagnoses (ICD9) were … ratio. RESULTS There were approximately 337,000 office visits to the IUFH for the study time period. Fever was …