Displaying results 2241 - 2248 of 4295
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Plague v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Disease… read more -
Psittacosis v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Disease… read more -
Rabies PEP Administered v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Diseases… read more -
Trichinellosis v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Disease… read more -
Tularemia v1
Content Type: Syndrome
Query purpose: Created by the CDC National Syndromic Surveillance Program (NSSP) for use with emergency department data to develop queries for all National Notifiable Diseases defined by the National Notifiable Disease… read more -
The Public Health Community Platform: Implementing Electronic Case Reporting
Content Type: Abstract
The PHCP is a community-led initiative to provide shared infrastructure, services, and applications to the public health community as solutions for complex public health informatics problems. The project has progressed by establishing a governance… read more -
Data quality monitoring for syndromic surveillance using R: A tidy approach
Content Type: Webinar
Presented July 27, 2017. The inferences we make from data can only be as good as the quality of the data; making sure that we are receiving timely, quality data is important. In this presentation, Mark White will describe a number of… read more -
Machine Learning in R: Detecting Carbon Monoxide Poisoning in Syndromic Surveillance Data
Content Type: Webinar
Presented January 26, 2017. This presentation will describe the steps involved in machine learning and will include a demo an application to detect carbon monoxide poisoning in the Kansas syndromic surveillance data. read more