Displaying results 1697 - 1704 of 4268
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Computerized Text Analysis to Enhance Automated Pneumonia Detection
Content Type: Abstract
Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections (ARI). In this work, we use data from the EMR to identify patients with pneumonia, a key landmark of ARI… read more -
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 -
S&I Public Health Reporting Initiative: Improving Standardization of Surveillance
Content Type: Abstract
The S&I Framework is an Office of National Coordinator (ONC) initiative designed to support individual working groups who focus on a specific interoperability challenge. One of these working groups within the S&I Framework is the PHRI, which… read more -
SAGES Update: Electronic Disease Surveillance in Resource-Limited Settings
Content Type: Abstract
The new 2005 International Health Regulations (IHR), a legally binding instrument for all 194 WHO member countries, significantly expanded the scope of reportable conditions and are intended to help prevent and respond to global public health… read more -
Searching for Complex Patterns Using Disjunctive Anomaly Detection
Content Type: Abstract
Modern biosurveillance data contains thousands of unique time series defined across various categorical dimensions (zipcode, age groups, hospitals). Many algorithms are overly specific (tracking each time series independently would often miss early… read more -
Selecting Targeted Symptoms/Syndromes for Syndromic Surveillance in Rural China
Content Type: Abstract
Patients’ chief complaints (CCs) as a common data source, has been widely used in syndromic surveillance due to its timeliness, accuracy and availability. For automated syndromic surveillance, CCs always classified into predefined syndromic… read more