Displaying results 593 - 600 of 855
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Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions
Content Type: Webinar
Presented May 24, 2018. Mauricio Santillana, MS, PhD describes machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic… read more… ILI Reported NYC-ED Predicted ILI using Twitter Daily ILI visits (as reported by the NYC emergency department) … predictions Can we predict daily emergency department visits in a hospital? Daily Visits 2009-2015 In … -
Integrating Early Event Detection into Local Disease Surveillance and Response
Content Type: Abstract
This poster describes the practical integration of Early Event Detection (EED) into the daily operation of a medium sized public health department to improve surveillance for, and response to, outbreaks of communicable disease.… processed into a Postgres database. A daily e-mail summary of aberrations is automatically generated and … -
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… of Ottawa Heart Institute, Ottawa, Ontario, Canada E-mail: rbhatia@ottawaheart.ca Objective This paper describes … -
HAIISS Data Warehouse (HDW)FA new data access architecture for ESSENCE in the VA
Content Type: Abstract
The data elements required for the proper functionality of VA’s ESSENCE system are all currently available within VA’s 128 VistA systems. These data are made available to VA’s ESSENCE system via a series of complicated MUMPS extraction routines,… read more… University Applied Physics Laboratory, Laurel, MD, USA E-mail: anoshiravan.moshtaghimi@va.gov Objective To describe … -
Identification of features for detection and prediction of homelessness from VA clinical documents
Content Type: Abstract
Homelessness in general is a major issue in the US today. The risk factors of homelessness are myriad, including inadequate income, lack of affordable housing, mental health and substance abuse issues, lack of social support, and nonadherence to… read more… USA; and 2University of Utah, Salt Lake City, UT, USA E-mail: shuying.shen@hsc.utah.edu Objectives We demonstrate a … -
Implementing an outbreak/event tracking monitor for public health
Content Type: Abstract
Utah has a centralized State Health Department and 12 Local Health Departments situated throughout the state. Coordination of outbreaks or events that crosses jurisdictions has been historically difficult. Utah has not had a functional NEDSS-… read more… University of Utah, Salt Lake City, UT, USA E-mail: smottice@utah.gov Objective The aim of this project … -
Analytic disease surveillance methodology based on emulation of experienced human monitors
Content Type: Abstract
Recently published studies evaluate statistical alerting methods for disease surveillance based on detection of modeled signals in a data background of either authentic historical data or randomized samples. Differences in regional… read more… Security Technology Department, Baltimore, MD, USA E-mail: howard.burkom@jhuapl.edu Objective This presentation … -
Classification of errors for quality assurance in the emerging infections program influenza hospitalizations surveillance system
Content Type: Abstract
The Centers for Disease Control and Prevention's (CDC) Emerging Infections Program (EIP) monitors and studies many infectious diseases, including influenza. In 10 states in the US, information is collected for hospitalized … read more… for Disease Control and Prevention, Atlanta, GA, USA E-mail: hvv9@cdc.gov Objective Introducing data quality checks …