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Displaying results 105 - 112 of 199
  • Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources

    Content Type: Abstract

    The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more
    … algorithms use the historical data of the outbreaks as a training set to build a model of this data. A sliding window of several days is used with the sequence data to train the neural networks (NN). Emergency Department (ED) … Two types of outbreak patterns were injected into the training set at a rate of one outbreak per year. These …
  • Emergency Medical Services (EMS) & Ebola

    Content Type: Webinar

    The 2014 Ebola epidemic is the largest in history, affecting multiple countries in West Africa and beyond. EMS providers have to be prepared to treat or transport suspected or known Ebola patients. Join FirstWatch President and long-time advocate… read more
    …   – Heavy  tourism  due  to  Disney  World   •  Provider  training  /retraining  to  capture  travel   informaEon …   – MERS-­‐CoV   – Ebola   •  Leverage  systems  and  training  to  get  up  to   speed  quickly  for …
  • Finding medically unexplained symptoms within VA clinical documents using v3NLP

    Content Type: Abstract

    Pro-WATCH (protecting war fighters using algorithms for text processing to capture health events), a syndromic surveillance project for veterans of operation enduring freedom (OEF)/operation Iraqi freedom (OIF), includes a task to identify medically… read more
    … machine learning model, trained using annotations from a training corpus currently under devel- opment. A statistical … duration component of the symptom identifica- tion. The training corpus is expected to have duration assertions. The …
  • The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more
    … the 23 CC pick list categories. We used the 2005 data for training the classifiers and the 2006 data for testing the … ESSENCE classifier for RESP as the criterion standard for training and testing. To test the probabilistic methods, we …
  • JIRA Service Desk: The New Portal for NSSP/BioSense Technical Assistance

    Content Type: Webinar

    An introduction to the NSSP Service Desk portal for technical assistance which is replacing the old "BioSenseProgram" help desk email with nssp@cdc.gov email address. Agenda:
    • Create Your…
    read more
    … Terence%Merri=,%Soby%Tadjalli%and%Max%Worlund%% ! Analyst/Training!Specialist!–!ICF!–!Contract!support!for!NSSP! … Senior!Training!Specialist!–!ICF!–!Contract!support!for!NSSP! …
  • Acute Flaccid Paralysis Surveillance System Evaluation, Ebonyi State Nigeria, 2017

    Content Type: Abstract

    Nigeria is one of the three countries in the world with ongoing wild poliovirus (WPV) transmission, alongside Afghanistan and Pakistan. Nigeria also experiences outbreaks of circulating vaccine-derived poliovirus type 2 (cVDPV2). Following the… read more
    … P. Ossai6 1Nigeria Field Epidemiology and Laboratory Training Program, Asokoro, Nigeria; 2Community Medicine, … of Health and Nigeria Field Epidemiology and Laboratory Training Program for supporting the study. References 1. …
  • Enhancement of ESSENCE-based chemical surveillance by incorporation of real-time poison information center data

    Content Type: Abstract

    Florida Department of Health has developed a statewide syndromic surveillance system based on the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE). Authorized users can currently access… read more
    … 2010. All users are required to complete 3h of online training before gaining access to FPICN data through … there are more than 85 users in 31 Florida counties with training and access to FPICN data through ESSENCE. …
  • A bootstrapping method to improve cohort identification

    Content Type: Abstract

    The research reported in this paper is part of a larger effort to achieve better signal-to-noise ratio, hence accuracy, in pharmacovigilance applications. The relatively low frequency of occurrence of adverse drug reactions leads to… read more
    … encounters with related ICD-9 codes. 2. Identify a training set T, from W, containing positive and negative … of ICD-9 codes of the given diagnosis, tapers down as training progresses, while the learned relationship …